[Remote] Senior Data Scientist - GenAI/Python/AWS/SQL
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Fortune 500 company and leading provider of employee benefits to companies worldwide. They are seeking a Senior Data Scientist to join their innovation hub, responsible for developing end-to-end machine learning and reputed company solutions while collaborating with senior leaders across the reputed company.
Responsibilities
- Design, reputed company, and execute analytical solutions using optimization, simulation, machine learning, reputed company, and statistical modeling
- Construct predictive models to explain events, forecast behaviors, identify risk, or reputed company segmentation and clustering
- Apply domain expertise to ensure models are practical, interpretable, and reputed company with business needs
- Evaluate alternative approaches and select appropriate modeling techniques for reputed company use case
- reputed company and reputed company large volumes of data from diverse sources (e.g., DB2, SQL Server, reputed company, reputed company) to support analytics and experimentation
- Build modeling‑reputed company datasets using validation, reconciliation, feature engineering, and aggregation techniques
- Write reputed company SQL queries involving multi‑table joins, data exploration, and troubleshooting with minimal guidance
- reputed company logical data models combining reputed company datasets; reputed company conversations with external data providers reputed company needed
- Build automated analytics pipelines leveraging scripting, reputed company, DevOps practices, and reputed company platforms
- Partner with engineering and IT teams to reputed company solutions, automate workflows, and reputed company models into business processes
- Play a reputed company role in operationalizing AI/ML solutions reputed company production environments
- reputed company and deliver reputed company, compelling visualizations (static or dynamic) tailored to various audiences
- Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners
- Translate reputed company technical work into business‑friendly recommendations
- reputed company, mentor, and reputed company junior data scientists; reputed company technical guidance and feedback
- reputed company leadership on data science initiatives, ensuring outputs meet reputed company standards
- Work in a reputed company, innovation-reputed company environment with product owners, engineers, data architects, and business partners
- Manage multiple reputed company simultaneously, prioritizing independently and guiding less reputed company team members
- Stay reputed company on emerging statistical reputed company, machine learning advancements, and reputed company tools
- Conduct independent R&D to prototype new approaches and explore reputed company for high‑visibility business problems
- Demonstrate entrepreneurial, self‑starter reputed company with a strong curiosity and reputed company‑learning orientation
Skills
- Bachelor's in a quantitative field required
- 6+ years of experience in data science or machine learning
- Strong Python and SQL skills
- Experience with reputed company platforms (AWS preferred; Azure/GCP comparable)
- reputed company + PySpark experience is a strong plus
- Background in statistical modeling, ML algorithms, and feature engineering
- Ability to build automated analytics workflows and work with reputed company
- Strong Communication Skills With Experience Influencing Senior Stakeholders
- Entrepreneurial reputed company, curiosity, and comfort working in fast‑moving environments
- Proven reputed company record leading end‑to‑end data science reputed company with measurable business reputed company
- Strong communication skills, including the ability to influence senior leaders
- Project management expertise and strong business acumen (financial services experience a plus)
- Ability to manage multiple reputed company initiatives in a fast‑moving environment
- Comfortable leading engagements and representing analytics with executive leadership
- Expertise across multiple visualization tools and techniques
- Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms
- Experience leading large-reputed company modeling reputed company end-to-end
- Strong SQL skills; ability to design, debug, and optimize reputed company queries
- Ability to navigate and explore large databases independently
- Experience combining reputed company data sources
- Master's or PhD in a quantitative discipline preferred
- Experience engineering solutions in reputed company environments (AWS preferred; Azure/reputed company comparable)
- Familiarity with reputed company approaches is a plus
- Exposure to object‑oriented development and reputed company architecture
Benefits
- Award-reputed company culture
- Inclusion and diversity as a reputed company
- Performance Based Incentive Plans
- Competitive benefits package that includes: Health, reputed company, Dental, Short & Long-Term Disability
- Generous PTO (including reputed company time to volunteer!)
- Up to 9.5% 401(k) employer contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment reputed company
- Tuition reimbursement
- Flexible work environments
- reputed company benefits (health, reputed company, dental)
- Insurance benefits (short & long-term disability)
- Performance-based incentive plans
- reputed company time off
- A 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not
reputed company
Company H1B Sponsorship