Flatfile is revolutionizing enterprise data handling through AI automation. We're building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data problems for the world's largest organizations.

Title: Senior Data Analyst Location: Hybrid

About the Role (Meta-specific):

In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.

Responsibilities:

• Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs' data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
• Rhythm of Business Reporting:  Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs' business performance.  Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
• Insights to Action:  Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.

Qualifications:

• Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
• Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.   
• Experience working with large datasets and cloud-based data platforms.

Preferred Qualifications in any of this:

• Experience in one or more of the following channels:

• • Direct to Consumer
  • Business-to-Business
  • Commercial Sales

• Familiarity with statistical modeling techniques.
• Experience with data storytelling and presentation skills.

Title: Senior Data Analyst Location: Hybrid

About the Role:

We are seeking a highly motivated and experienced Senior Data/Business Analyst to join our team. In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.

 

Responsibilities:

• Sales Channel Support: Conduct in-depth analyses and investigations to understand sales trends, identify opportunities, and address challenges. This includes drill-down analysis, ad-hoc reporting, and proactive exploration of data to uncover actionable insights.
• Data Integration & Leverage:  Identify opportunities to integrate and leverage data more effectively across the organization. Develop strategies to enhance data quality and generate deeper insights into the drivers of sales performance.
• Collaboration with Data Science/Engineering: Work closely with data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
• Rhythm of Business Reporting:  Develop and maintain continuous reporting processes that provide a clear and comprehensive view of business performance.  Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
• Insights to Action:  Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.

Qualifications:

• Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
• Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.   
• Experience working with large datasets and cloud-based data platforms.

Preferred Qualifications in any of this:

• • Direct to Consumer
  • Business-to-Business
  • Commercial Sales

• Familiarity with statistical modeling techniques.
• Experience with data storytelling and presentation skills.

Title: Azure Data Engineer

Title: Java Developer Location: Hybrid Interview: 1st round: Webex call, technical questions based on resume. 2nd round: Onsite with panel, 3-4 leads, technical IV as well  

About The Job: Back end Java developer (Spring Boot & Kafka required)

Java. Springboot,

 

Plus:

Containerization and Kafka

Hands on role, building/developing scalable applications, production troubleshooting, helping team solve problems,

Passionate about role, does more than what's just told, helping problem solve on team

 

 Applications will be supporting:

1. Customer Management System
2. Data Cash Management
3. Business Rules

Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers, and engineers committed to pushing the boundaries of AI to create transformative solutions. Join our diverse and collaborative team and play a pivotal role in harnessing AI's incredible power to help professionals reach their full potential. Responsibilities

• Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition.
• Adapt pre-trained language models to our specific domain and use cases.
• Develop and deploy state-of-the-art computer vision models for real-time applications.
• Experiment with different fine-tuning techniques to improve model performance on relevant tasks.
• Build visual models to analyze and process image, video, and text data and combine them with additional external and internal sources of multi-modal data

Minimum Qualifications

• Experienced in machine learning and computer vision, in research and/or production.
• Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
• Master’s, PhD, or equivalent industry experience.
• Strong desire to build and scale a startup from the early days.

Required skills

• Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
• Knowledge of neural networks, CNNs, and image processing techniques.
• Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
• Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
• Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.

Nice to Have:

• Experience working at a startup
• Experience with real-time video analysis, object detection, and scene understanding.
• Experience with visual transformers and their applications in computer vision tasks such as 3D modeling, neural rendering, or advanced video processing.

Minimum Qualifications

• Strong desire to build and scale a startup from the early days.
• Experienced in machine learning and computer vision, in research and/or production.
• Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
• Master’s, PhD, or equivalent industry experience.

Required skills

• Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
• Knowledge of neural networks, CNNs, and image processing techniques.
• Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
• Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
• Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.

Nice to Have:

• Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, etc.
• Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
• Peer-reviewed publications in multi-modality, large language models, continual learning and/or federated learning.

Note: 1) Role does not sponsor visa at this time. 2) Role will have option to convert full time after initial contract with generous equity.

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.

Title: Senior .NET Developer Location: Hybrid Key Qualifications: Knowledge of software development methodologies (including agile and traditional waterfall) Excellent problem-solving and analytical skills Strong written and verbal communication skills as well as strong organizational skills Ability to juggle and complete multiple tasks Experience working in a cross functional time-zone distributed team environment Excellent leadership and influencing skills Self-motivated and pro-active with demonstrated creative and critical thinking capabilities Engineering/ Technical background Familiarity with Java, SOA, J2EE, Object Oriented Programming, ORACLE & MongoDB Responsibilities: Lead brainstorming sessions to gather requirements and perform high level systems impact analysis for new business initiatives. Perform Requirement/ Functional Detailed analysis & document specifications. Ensure proper requirement traceability and delivery during development and Integration Testing. Provide solution hand-off and training for the new features to Operations and Production Support teams Skill Sets - Preference Customer Focus - Is Required Core Java - 2-5 Years - Is Required Decision Making - Is Required microservices - Is Required

Specialized Knowledge & Skills: • Solid understanding of Bootstrap framework. • Cloud Services: • Demonstrated experience with AWS services, including but not limited to KMS, Glue Catalog, Athena, IAM, S3, Logging (EMR, EC2, RDS). • Experience with GCP infrastructure platform. • Operating Systems: • Proficient in Linux operating systems. • Data Management: • Knowledge and understanding of ETL processes and Informatica. • Strong experience in debugging, identifying root causes, and solving application issues. • Database Administration: • 5+ years of experience in a DBA role, configuring and supporting multiple database platforms (PostgreSQL, MySQL, MS SQL Server, Oracle). • Experience in provisioning, upgrading, and tuning database services. • Familiarity with provisioning new database services, especially for production deployments. • Ability to provide guidance for efficient application design using database managed services. • Involvement in tuning exercises affecting application performance. • Review DDL prior to deployment if requested by the application team, without managing DDL on behalf of the application team. Qualifications: • 5+ years of experience in a DBA role, configuring and supporting a wide range of database platforms (Oracle, PostgreSQL, MySQL, MS SQL Server). • 5+ years of experience with cloud services (AWS, GCP). • Strong problem-solving skills and the ability to work both independently and collaboratively. • Excellent communication and collaboration skills.