Additional Links:

• This position is Benefit eligible; click here for an overview of available benefits.
• This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
• This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
• UConn Health

PURPOSE OF CLASS: At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports. **Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa's or candidates that cannot relocate to Connecticut at this time. SUPERVISION RECEIVED: Works under the general supervision of a higher grade. EXAMPLES OF DUTIES: Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources; Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs; Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources; Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks; Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines; Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making; Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons; Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations; Performs other related duties as required. KNOWLEDGE, SKILLS AND ABILITIES: Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts; Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises; Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts; Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail; Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling; Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently; Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations; Proven ability to communicate complex data analytics using clear and concise methods and presentation media. EXPERIENCE AND TRAINING: GENERAL EXPERIENCE: Six (6) years of experience in a healthcare data analytical role. SUBSTITUTION ALLOWED: Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience. PREFERRED QUALIFICATIONS: Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau. Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data. Experience with Epic electronic medical records platform. Experience with data analytics related to value-based programs. SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm. Why UConn Health UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy? We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company. Your responsibilities will also include:

• Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
• Designing experiments to measure the impact of new features on those metrics;
• Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
• Partnering with our machine learning teams for investigations and feature engineering; and
• Becoming an expert in our data analytics pipelines and core metrics

Qualifications We are looking for a Data Scientist with relevant and demonstrated industry experience working with cross-functional partners and driving work from idea to completion. Strong communication skills and experience collaborating with business and external stakeholders is a must. You would also ideally have education and work experience similar to the following:

• Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
• 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
• Experience with experimental design, econometrics, and/or causal inference is a plus but not required

And these technical/software skills:

• Expert level skills at SQL (experience with dbt is a plus but not required)
• Expertise with Python, R, or a similar data science scripting language
• Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
• Experience with BI tools such as Looker, Tableau, Power BI, or similar

Are you passionate about making a difference and eager to bring your unique skills to our team? We encourage you to apply for this position even if you don’t meet every specific criterion listed. We believe that diverse experiences and perspectives can greatly enrich our work environment and drive our success. If you’re enthusiastic about the role and confident in your ability to contribute, we want to hear from you. Bring your strengths and vision to the table, and let’s explore how you can make an impact with us. Salary band shown in CAD:   Salary band shown in USD:  

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Data Scientist at BairesDev We are looking for Data Scientists to join our Development team and participate in different projects made up of multicultural teams distributed throughout the world. We are looking for proactive people, team players passionate about programming in this language and oriented to provide the best experience to the end user. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing companies in the industry! These developers will face numerous technical challenges, so they must use current technologies, get involved in the mobile world, web applications, devices, etc. What You Will Do:

• Work together with developers, tech leads and solution architects to build applications.
• Improve existing structures by adding new functionalities or proposing technological updates so that as a result, the impact of your contribution is significant in the core of each business.
• The result of your work will also allow you to improve the user experience on scalable and high availability platforms, contributing to the key differential of each business.

Here’s what we are looking for:

• 5+ years of experience in Data Scientist.
• Proficient with analysis, troubleshooting, and problem solving.
• Hands-on experience with managing data loads and data quality a plus.
• Advanced English level.

How we make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive!

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments. GO2 Unify is the Java based POA platform for Global Onboarding and Orchestration. GO2 is the platform that looks after all activities required to be done for onboarding a customer across markets, segments and products. When a customer selects an Amex product from a channel (example americanexpress.com), enters the demographic and other information and clicks submit, the application is passed over to GO2 . Extract insights from data using SQL or Python in a in-house or Google Cloud environment. Provide the results in actionable, simple, and impactful formats to business partners.

• Identify and analyze data discrepancies and data quality issues and work to ensure data consistency and integrity.

• Partner with Product to develop insights to enhance their products, including customer behavior/usage studies or product diagnostic analyses which will be used to drive larger team’s decision strategy and project requirements

• Conduct deep dives to understand trends, generate, and present actionable insights. Create, enhance, and maintain monthly reporting for Acquisition Product performance tracking.

• Gather, sanitize, and preprocess extensive datasets from various sources, and perform exploratory data analysis.

• Implement appropriate ML algorithms – regression, classification etc. Experience in Coding, Supervised and Unsupervised

• Develop predictive modeling that will enable the right acquisition trends and customer retention and growing diverse representation.

• Proficiency with ML frameworks and libraries – Tensorflow, scikit etc.

• Develop and maintain dashboards, reports and visualizations to communicate key findings and insights to stakeholders to enable data-driven decision-making.

• Understanding of statistical and experimentation concepts such as distributions, regression, confidence, correlation, significance, P-value, T-tests, etc

• Experience with data visualization tools (Tableau, PowerBI, matplotlib, etc.), with strong ability to communicate complex findings

Minimum Qualifications

• Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Engineering or related analytical field

• Proficiency in data manipulation and analysis using SQL, Python, R or the equivalent

• Demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information.

• Experience with SQL, Python, or other scripting languages.

• Experience with Excel, Power BI, or Tableau.

• Collaborate effectively and work closely within a coordinated team environment.

• Excellent written and verbal communication and comprehension skills.

• Quantitative and qualitative analytical skills with the ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

• Able to present results of analysis to non-technical audiences with experience in crafting presentations with effective data visualization.

• Strategic thought leadership and strong critical thinking and analytical skills.

Above all a strong desire to learn new skills to adapt to rapidly changing tech environment. Salary Range: $85,000.00 to $150,000.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement. If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.  

• Job Type: Officer of Administration
• Bargaining Unit:
• Regular/Temporary: Regular
• End Date if Temporary:
• Hours Per Week: 35
• Standard Work Schedule:
• Building:
• Salary Range: $70,000-$79,000

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.   Position Summary The Department of Epidemiology in the Mailman School of Public Health seeks an experienced quantitative Data Analyst to provide data management and conduct analysis of longitudinal cohort data and quasi-experimental designs for the VIBE Research Lab. The portfolio of projects includes studies of the social and structural determinants of maternal and reproductive health equity. The successful candidate will have experience analyzing data, writing scientific manuscripts, and proficiency in SAS, Stata, and R. Experience with longitudinal data analysis (e.g., survival analysis and other time-to-event procedures, trajectory analysis), random effects models, and quasi-experimental models such as interrupted time series is preferred. She/he/they will assist with preparation of conference abstracts, reports and papers for publication; assistance with developing related grant proposals and research protocols to extend the scope of the project; and other support as required. The Data Analyst will also product charts and data visualizations for the research projects. This is a two-year grant-funded position.   Responsibilities 70% data analysis 20% manuscript and grant preparation 10% documentation, data governance and other administrative tasks   Minimum Qualifications A bachelor's degree or equivalent in training, education plus 3 years of experience Experience with quantitative data management and analysis. The ability to work with internal and external multidisciplinary teams. Proficiency in SAS, Stata, R is essential. Excellent written and oral communication skills and be detail oriented. High-level interpersonal and organizational skills. Ability to work independently Excellent written and verbal communication skills Knowledge of health equity research and practice   Preferred Qualifications A master’s degree or equivalent in training, education, and/ or experience in public health or a related discipline. Work experience in public health or a related science. Highly motivated and interested in developing a research career Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

What the Candidate Will Need / Bonus Points - What the Candidate Will Do -

• Design and implement machine learning models and algorithms to optimize ad recommendations and auction mechanisms.
• Apply advanced statistical and machine learning techniques to generate insights and improve the effectiveness of ad targeting and delivery.
• Monitor and ensure the reliability of ML Predictions at large scale.
• Stay up-to-date with the latest research and advancements in machine learning, recommendation systems, and ad auction techniques.

- Basic Qualifications -

• Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Data Science, ML, Statistics, or other quantitative fields.
• Proven experience with designing and implementing machine learning models in production environments applied to recommendation systems.
• Proficiency in using Python for developing ML models and handling large-scale data sets.
• Hands-on experience with building batch data pipelines using technologies like Spark or other map-reduce frameworks.

- Preferred Qualifications -

• • 2 years of industry experience as an ML engineer or equivalent.
  • Experience with enabling production-scale and debugging large ML models.
  • Experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
  Advanced degree (Ph.D. or M.S.) in Data Science, ML, or related disciplines.

For New York, NY-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

About us At Inkling Storm Design, we understand the significance of your special occasions. Whether it’s a wedding, engagement, or any other milestone event, we believe that every moment is unique and deserves to be cherished forever. Our mission is to turn these fleeting moments into timeless memories that you can revisit and relive for years to come. Job Title: Data Entry Clerk Location: Jersey City, NJ Description We are looking for a detail-oriented Data Entry Clerk to help manage and organize client data, project documentation, and operational records. This role is ideal for someone with strong organizational skills who enjoys working behind the scenes to ensure smooth operations. Responsibilities

• Input and update client information, invoices, and project records into databases.
• Verify the accuracy of entered data and make necessary corrections.
• Organize and maintain digital files and spreadsheets.
• Assist with generating reports and summaries as needed.
• Coordinate with team members to ensure data consistency across departments.

Requirements

• High attention to detail and accuracy.
• Basic computer skills and familiarity with Microsoft Excel or Google Sheets.
• Strong time management and organizational abilities.
• Ability to work independently and meet deadlines.
• No prior experience required; training will be provided.

Benefits: - Competitive salary based on experience - Health insurance coverage - Paid time off and holidays - Professional development opportunities Job Type: Full-time Pay: $19.86 - $21.49 per hour Schedule:

• 8 hour shift

Work Location: In person

Overview King's Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting research, analyzing data, and providing strategic insights to support decision-making processes within the organization. The ideal candidate will have a strong background in business analysis, excellent problem-solving skills, and the ability to translate data into actionable recommendations. Duties

• Utilize SQL or similar tool to extract and manipulate data for reporting and analysis purposes.
• Create visually appealing dashboards and reports to facilitate decision-making.
• Conduct thorough market research and industry analysis to identify trends, opportunities, and challenges that may impact business operations
• Analyze and interpret complex data sets to generate meaningful insights and KPIs that drive informed decision-making across various departments
• Collaborate with cross-functional teams to gather business requirements, define project scopes, and develop solutions that align with organizational goals
• Create detailed reports, dashboards, and presentations to communicate findings, recommendations, and performance metrics to stakeholders
• Identify process improvements, efficiencies, and cost-saving initiatives through data analysis and business process mapping
• Assist in strategic planning, forecasting, budgeting, and performance tracking by providing data-driven insights and scenario modeling

Requirements

• Bachelor's degree in Business Administration, Finance, Economics, or related field; Master's degree or certification in Business Analysis is a plus
• Proven experience as a Business Analyst or similar role, with a strong track record of conducting quantitative and qualitative analysis in a business setting
• Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau, Power BI) to manipulate and visualize complex datasets
• Strong analytical skills, with the ability to interpret data, identify patterns, and draw actionable conclusions to drive business strategy
• Excellent communication skills, both written and verbal, to present findings to stakeholders and collaborate effectively with team members
• Detail-oriented approach with a focus on accuracy, problem-solving, and continuous improvement in data analysis processes

If you are passionate about leveraging data to drive business success and possess the required skills, we encourage you to apply for this exciting opportunity. Job Types: Contract, Temporary Pay: $35.00 - $40.00 per hour Expected hours: 5 – 20 per week Benefits:

• Flexible schedule
• Work from home

Compensation Package:

• 1099 contract
• Performance bonus
• Yearly bonus

Schedule:

• Choose your own hours
• Monday to Friday
• On call

Experience:

• Business analysis: 3 years (Required)

Work Location: Remote

• Partnership: Work closely with colleagues from Sales, Operations, Product, Finance, and others to understand their domain, processes and come up with solutions for their problems and tools to make their day-to-day operations efficient and effective
• Strategic and Analytical Orientation: Experienced in decision making and problem solving based on analytics. Conceptual thinking for framework creation combined with strong quantitative orientation to solve complex problems with rigorous analytics and monitoring
• Strong Technical/Programming Skills: Orientation to & ability to code in languages such as SQL, Python, integrate structured & unstructured internal & external data sources to create user interfaces, adept at building visualizations using UI tools
• Machine Learning/Statistical Modeling: Training and hands on experience either through coursework and/or professional experience.
• Strong Communication Skills: Strong written and oral communication skills coupled with skills to influence and drive agreement through intellectual, interpersonal and negotiation skills
• Execution Focus: Build and manage execution plans of business intent, requirements, execute against the strategy and monitor results
• Results Focus: Focused on achieving short and long-term goals. Able to drive and execute an agenda in an uncertain, fluid environment with minimal supervision
• Strong business judgment, leadership, and integrity: Tenacious decision maker able to bring healthy, aggressive yet responsible approach to business
• Product Maker: The right candidate will be self-motivated and have a “Product Maker” mindset. Strong conceptual thinking to understand the business and ability to grasp analytical & technical concepts

• Cash Forecasting: (1) Quickly develop cash consumer demand and supply operations business expertise; (2) Identify, collect, and process the requisite data; (3) Conduct all stages of the machine learning process; (4) In partnership with the business stakeholder, deliver and maintain final AI solution; (5) Demonstrate financial impact.
• Conduct test and control causal analysis to measure the impact of cash dispense limits and pricing changes.
• Create an automated process for the dataset preparation that is repeatable, accurate and resilient (person independent)
• Utilize sophisticated data mining and programming skills to enable visualizations on Geospatial maps, web scraping, data prep and analysis, etc.

• The role provides a fantastic platform for learning and development of the full-time employee to develop a long term career in the area of Data Science/Modelling and add value to business as part of the team.

• Bachelor’s degree preferably in Computer Science, Information Technology, Electrical or Software Engineering, Data Science, Econometrics, or related fields
• Strong conceptual understanding and experience in building statistical models using regressions, time series, clusters, or decision trees
• Demonstrated proficiency writing production-ready code in at least one language - JavaScript, Python, PHP, .NET
• Strong SQL and Python programming skills
• Knowledge of relational databases - design, modelling, debugging, and query optimization
• Advanced skills in MS Office
  • Pivot tables, VLOOKUP, and complex formulae in Excel

• Recent graduates with 2-5 years work experience in data sciences or related fields
• Understanding of data warehouses, ETL, UI tools & expertise in SQL, Python
• Experience with Geospatial tools such as ESRI, specifically ArcGIS for Python
• Experience with Microsoft Azure/Data Bricks/Hadoop Cloud or similar data science platform
• Experience in building out Web Interfaces and applications integrating data from disparate sources

• Medical Insurance
• Dental Insurance
• Life Insurance
• Vision Insurance
• Short/Long Term Disability
• Paid Vacation
• 401k

The Community You Will Join: Airbnb has become a global platform that connects travelers and hosts from over 34,000 cities. As such, it has collected a diverse set of numerical, textual, visual, and unstructured data, which can be mined for insights that will propel our community and product forward. We are looking for a talented Data Scientist to join our Central Strategy and Insights team, focusing on Revenue forecasting. The Difference You Will Make: We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. This role is uniquely positioned at the intersection of data science and financial strategy, with a specific focus on developing and refining forecasting models within our revenue pipeline and hierarchy. We're looking for a self-starter with an entrepreneurial mindset who can deeply understand the nuances of our rapidly evolving business and its key revenue drivers. A Typical Day:

• Develop, refine, and maintain forecasting models for the drivers in our revenue hierarchy, ensuring they align with overall financial strategy and business objectives.
• Collaborate closely with cross-functional teams, including Finance, Product, Engineers, and other Data Scientists, to ensure cohesive strategy and execution.
• Engage in stakeholder management, effectively communicating with various teams and levels within the organization to gather input and share insights.
• Drive the process of extracting actionable insights from complex data sets to influence business growth and strategic decision-making.
• Stay abreast of industry trends and advancements in data science to continually enhance our forecasting techniques and methodologies.

Your Expertise:

• BA/BS in a quantitative field such as mathematics, statistics, econometrics, or computer science.
• Minimum of 3 years industry experience in data science, preferably with exposure to financial and forecasting models focusing on revenue drivers.
• Strong communication and presentation skills, with a proven ability to convey complex data-driven insights to executive and senior management in a clear and concise manner.
• Proficient in statistical modeling and time series analysis.
• Expertise in SQL and relational databases, along with proficiency in programming languages such as R or Python.

Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Job Description: This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Responsibilities:

• Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
• Applies agile practices for project management, solution development, deployment, and maintenance
• Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
• Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
• Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
• Mitigates risk by identifying potential issues and developing controls
• Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

Skills:

• Adaptability
• Attention to Detail
• Business Analytics
• Technical Documentation
• Written Communications
• Agile Practices
• Application Development
• Collaboration
• Data Visualization
• DevOps Practices
• Artificial Intelligence/Machine Learning
• Networking
• Policies, Procedures, and Guidelines Management
• Presentation Skills
• Risk Management

Required Qualifications:

• Bachelor's Degree
• NLP / ML and GenAI Expert

Minimum Education Requirement: Bachelor's Degree Shift: 1st shift (United States of America) Hours Per Week: 40

Since 2010, Synergisticit has helped job seekers get employed in the tech job market by providing candidates with the requisite skills, experience, and technical competence to outperform at interviews and with clients. Here at SynergisticIT, we just don't focus on getting you a tech job; we make careers. In this Job market also, our candidates can achieve multiple job offers and $100k + salaries. please check the below links to see the success outcomes and salaries of our candidates. https://www.synergisticit.com/candidate-outcomes/ https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 All Positions are open for all visas and US citizens We at Synergistic understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart labs etc to name a few. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients. Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We want Data Science/Machine learning/Data Analyst and Java Full stack candidates For data Science/Machine learning Positions Required Skills Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Project work on the technologies needed Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow REQUIRED SKILLS For Java/Full Stack/Software Positions Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Project work on the skills Knowledge of Core Java, Javascript, C++, or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience Excellent written and verbal communication skills If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements. No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or C2C candidates

This position will directly support UNL Athletics and will be part of our Security Engineering team, which is responsible for protecting the enterprise from cyber threats and preventing the occurrence and recurrence of cybersecurity incidents. Specifically, this position will focus on network security and work closely with the ITS infrastructure team and campus IT support teams. Occasionally, work outside of regular business hours may be required to respond to incidents or service outages. Requirements Responds to security alerts and investigates root cause. Assists with the implementation and administration of the University's information security program. This includes safeguarding information system assets by identifying and solving potential and actual security problems and risks. Responsible for requirements management, solution recommendations, and project management in support of strategic security projects which vary in scope from campus strategic goals to NU system goals to state and federal mandates. Provides timely, clear verbal and written communications related to all projects and operational activities. The work involves following the methodologies of the security and business analysis fields in order to:

• Assist in analyzing customer needs and capture requirements using multiple methods from the security and identity perspectives.
• Assist in the development and maintenance of systems and policies to ensure the security of information and data assets.
• Perform analysis and judgment outside established protocols requiring a high degree of confidentiality and integrity.
• Responsible for implementation of security policies and procedures (e.g., user log-on and authentication rules, security breach escalation procedures, security auditing procedures and use of firewalls and encryption routines).
• As necessary researching requirements and writing draft policies.
• Work as necessary with external contractors and other vendors for completion of plans and projects.
• Maintenance of systems and policies to ensure the security of information and data assets; monitoring of procedures and compliance with security policies to ensure that user access, resources and information are secure
• Monitoring of emerging network threats and regular consultation with other IT professionals and user departments to provide tactical and strategic technical guidance and assist in the design and implementation of appropriate access protection, audit control and evidentiary methods and procedures.
• As necessary test and/or manage University systems, infrastructure and applications.This position will uphold the ITS core principles of outstanding collaboration and communication, a drive to succeed, a passion for higher learning, and acting with integrity.

Position Details: https://uofnebraska.sharepoint.com/:b:/s/nu-SystemHR-Public/EduywTLYuHhKr4B-rPQCYssB46l_ygBsavKnlLVpsdlgjg?e=wNCyyg Qualifications Position Announcement: Bachelor's degree required; equivalency considered Two years experience in information technology or security experience; required Must have excellent verbal, written and interpersonal skills; requiredMust have strong organizational and problem solving skills; requiredExperience within a higher education environment; preferredExperience using security tools (vulnerability scanners, intrusion prevention systems, firewalls, VPN's, data loss prevention, etc.); preferred Security + or similar certification; desired Special Instructions To Applicant This position directly supports UNL Athletics and be a part of the Security Engineering Team, position has a minimum annual salary of $80,500 and is eligible for alternative worksite arrangement (Hybrid) and will be located on the Lincoln campus. Please complete a standard application and attach a resume, cover letter and the names, email addresses and telephone numbers for three professional references. Please note: H1-B Sponsorship will not be offered for this position. If you should need assistance with your application, please call 402-472-3701. The University of Nebraska is an Affirmative Action/Equal Opportunity Employer and participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, gender identity, sexual orientation or protected veteran status. To apply, visit https://apptrkr.com/5600716 The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. The University of Nebraska is an Equal Opportunity/Affirmative Action and E-Verify employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, gender identity, sexual orientation, or protected veteran status. All positions opened at the University of Nebraska are subject to veterans’ preference.

Job Description

• Support a team of data scientists as the machine learning models QA/validation SME
• Responsible for documenting the model Qualification Plan and Technical Specification documents in collaboration with the data scientists and project team.
• Document business and technical requirements for the ML model, including accuracy, performance, and functionality.
• Work closely with Subject Matter Experts to ensure thorough evaluation and testing of the model.
• Review and approve test cases to ensure model requirements and performance criteria are met.
• Generate summary reports as per the Qualification Plan.
• Interpret test results and provide feedback for improvement.
• **Skills Required**:
• Basic understanding of statistical analysis.
• Experience or familiarity with Computer System Validation/Quality Assurance practices in a Digital or IT organization
• Experience with programming languages such as Python, R, Java, and/or C++.
• Familiarity with the lifecycle of AI/ML projects and Software Development.
• Experience with AI/ML modeling, preferably in healthcare/life science data.
• Experience in Pharmaceutical manufacturing processes or chemical engineering background highly preferred.