Senior Data Scientist
Listed on 2026-06-20
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Title:
Senior Data Scientist
Type:
Full Time
Location:
Three days a week in office in Boston, MA, New York, NY, Holmdel, NJ, Stamford, CT and Bethlehem
Salary:130000- $180000/ Yr Bonus
Client company is seeking experienced individual contributor with a strong background in production ready AI/ML solutions. In this role as Senior Data Scientist, you’ll be working in a team of Data Scientists led by Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and client company products.
You’ll collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups. Successful candidates have strong technical foundation, excel in coding, detail oriented, and have passion for analytical thinking and problem solving.
- Lead use case/workstream with junior data scientists
- 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
- Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
- Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
- Identification of source data and data quality checks both in model/solution development and in production
- Packaging of model/solution and deployment 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, prepare and maintain reports, and troubleshoot 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.
- You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
- You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for client company.
- You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
- PhD with 2 years of experience, Master’s degree with 4 years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
- 3 years of hands‑on ML modeling/development experience
- Solid understanding of data analysis and statistical modeling
- 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 records 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 collaboraṭe 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…
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