Yoh has an exciting direct hire opportunity for a highly skilled Lead Data Scientist to join our team. The ideal candidate will have extensive experience in machine learning and artificial intelligence, and a strong background in the insurance industry.
Title: Lead Data Scientist
Compensation: $220,000 - $250,000 (DOE) + bonus
Type: Direct Hire, Hybrid
Location: Boston, NY, Bethlehem, Pittsfield, MA, or Holmdel, NJ
Industry: Insurance
Job Purpose
Yoh's client is on a transformation journey to evolve into a modern, forward-thinking company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to collaborate with the Chief Data & Analytics Officer (CDAO) and the Head of Data Science, actively contributing to our client's ongoing evolution. Our client's core activities encompass creating business value from our data and analytic products. We are a team of data analysts, data product owners, data engineers, data scientists, and data business leaders.
Key Responsibilities
- Build and lead a high-performing group of data scientists.
- Stay current with developments in ML and AI innovations, industry trends, challenges, and potential market opportunities.
- Lead and mentor other team members.
- Manage business stakeholders from ideation to deployment and aftercare.
- Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation.
- Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs.
- Package model/solution and deploy in cooperation with Data Engineers and MLOps.
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
- Propose innovative ways to look at problems through using data mining and data visualization.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Present information using data visualization techniques; communicate results and ideas to key decision makers.
- Ensure data accuracy and consistent reporting by performing regular data quality control, preparing and maintaining reports, and troubleshooting data anomalies.
- Consistent accuracy and thoroughness in performing work assignments.
- Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities.
- Contribute to standardization of Data Science tools, processes, and best practices.
You are:
- Passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
- Analytically driven, intellectually curious, and experienced in leading the development and implementation of data and analytic solutions to solve challenging business problems.
- Enjoy leading and managing a team of data scientists to crack hard-to-solve problems with AI/ML and seeing it deployed in-market and generating value for the company.
- Enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers, and functional business experts and business leaders.
- Have a demonstrated track record of managing data science teams and working with business leaders.
You have:
- PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied Mathematics, or related field.
- 7+ years of hands-on ML modeling/development experience.
- 2+ years of experience working within the insurance industry.
- Knowledge of Individual Markets or Direct to Consumer Insurance experience is a major plus.
- Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP).
- Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Demonstrated track record in experimental design and executions.
- Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing, and applying parallelism to ML solutions.
- Strong programming skills in Python.
- Solid background in algorithms and a range of ML models.
- 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.
- Excellent analytical and problem-solving abilities with superb attention to detail.
- Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with the ability to monitor/track performance for enterprise success.
Estimated Min Rate: $171500.00
Estimated Max Rate: $245000.00
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.