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Burtch Works · 2 days ago

Sr Data Scientist, AI Studio

New York, NY

Full-time

Hybrid

Mid, Senior Level

$170K/yr - $185K/yr

4+ years exp

Burtch Works is a leading insurance company on a transformation journey to evolve into a modern organization committed to enhancing customer wellbeing. They are seeking a Senior Data Scientist for their AI team, responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation across various business lines and products.

RecruitingStaffing Agency

Responsibilities

Lead use cases and workstreams with junior data scientists: Provide technical leadership and mentoring while guiding project execution from conception to delivery

Support comprehensive use case development: Manage the full lifecycle including initial data exploration, project/sample design, data reception and processing, performing analysis and modeling, and creating final reports and presentations

Execute data wrangling, data matching, and ETL processes: Explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets using techniques including fuzzy matching and regular expression

Develop high-performing predictive models: Utilize advanced statistical and AI/ML techniques to create models and creative analyses that address business objectives and partner needs

Ensure data quality and model reliability: Identify source data and perform data quality checks both in model/solution development and in production environments

Package and deploy solutions: Collaborate with Data Engineers and MLOps teams to implement models in production, utilizing distributed computing and parallelism to ML solutions

Drive innovation and standardization: Implement new statistical or mathematical methodologies, propose innovative approaches using data mining and data visualization, and contribute to standardization of Data Science tools, processes, and best practices

Communicate insights effectively: Present information using data visualization techniques and communicate results and ideas to key decision makers throughout the organization

Maintain data accuracy: Perform regular data quality control, prepare and maintain reports, and troubleshoot data anomalies with consistent accuracy and thoroughness

Stay current on industry developments: Attend industry conferences to keep abreast of trends, challenges, and potential market opportunities

Qualification

Machine LearningPythonStatistical ModelingData WranglingDistributed ComputingMLOpsAnalytical SkillsCommunication SkillsProblem-SolvingLeadership

Required

Education: PhD with 2+ years of experience, or Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied Mathematics, or related field

Experience: 3+ years of hands-on ML modeling and development experience with demonstrated track records in experimental design and executions

Skills: Strong programming skills in Python, solid understanding of data analysis and statistical modeling, solid background in algorithms and a range of ML models, hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing, and applying parallelism to ML solutions

Technical Knowledge: Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting, artificial neural networks, etc.) and their real-world advantages and drawbacks

Communication: Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level

Other: Excellent analytical and problem-solving abilities with superb attention to detail, proven leadership in providing technical leadership and mentoring to data scientists

Preferred

Experience working in the insurance or financial services industry

Track record of deploying production-ready AI/ML solutions that generated measurable business value

Experience with MLOps practices and tools

Publications or presentations at industry conferences

Experience collaborating with multi-disciplinary teams including data engineers, business analysts, software developers, and functional business experts

Benefits

Competitive Salary: Commensurate with experience and qualifications

Health and Wellness: Comprehensive health insurance and wellness programs

Work-Life Balance: Generous PTO, remote work options, and flexible hours

Professional Development: Training programs, tuition reimbursement, and opportunities to attend industry conferences

Additional Perks: Collaborative team environment, opportunity to work on cutting-edge AI/ML projects with real-world impact, and the chance to drive innovation at a transforming enterprise