Senior Data Scientist - GenAI/Python/AWS/SQL
Role details
Job location
Tech stack
Job description
Analytical Solution Development
- Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.
- Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.
- Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.
- Evaluate alternative approaches and select appropriate modeling techniques for each use case.
Data Engineering & Preparation
- Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation.
- Build modeling-ready datasets using validation, reconciliation, feature engineering, and aggregation techniques.
- Write complex SQL queries involving multi-table joins, data exploration, and troubleshooting with minimal guidance.
- Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.
Automation & Deployment
- Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms.
- Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes.
- Play a lead role in operationalizing AI/ML solutions within production environments.
Visualization, Insights & Communication
- Develop and deliver clear, 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 complex technical work into business-friendly recommendations.
Leadership, Mentorship & Collaboration
- Coach, mentor, and develop junior data scientists; provide technical guidance and feedback.
- Provide leadership on data science initiatives, ensuring outputs meet quality standards.
- Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners.
- Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members.
Innovation & Research
- Stay current on emerging statistical methods, machine learning advancements, and generative AI tools.
- Conduct independent R&D to prototype new approaches and explore innovative solutions for high-visibility business problems.
- Demonstrate entrepreneurial, self-starter mindset with a strong curiosity and continuous-learning orientation.
Requirements
Bachelor's in a quantitative field required (Master's/PhD preferred)
6+ years of experience in data science or machine learning
Strong Python and SQL skills
Experience with cloud platforms (AWS preferred; Azure/GCP comparable)
Databricks + PySpark experience is a strong plus
Background in statistical modeling, ML algorithms, and feature engineering
Ability to build automated analytics workflows and work with APIs
Strong communication skills with experience influencing senior stakeholders
Entrepreneurial mindset, curiosity, and comfort working in fast-moving environments, * Bachelor's degree in a quantitative field required.
- Master's or PhD in a quantitative discipline preferred.
Experience
- 6+ years of professional experience or equivalent relevant work.
- Proven track record leading end-to-end data science projects with measurable business impact.
Technical Expertise
Core Data Science Capabilities (expert in at least two, strong in others):
- Programming & Automation:
- Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations.
- Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable).
- Exposure to object-oriented development and scalable architecture.
- Data Visualization:
- Expertise across multiple visualization tools and techniques.
- Ability to tailor visuals to business use cases and audiences.
- Statistics & Machine Learning:
- Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms.
- Experience leading large-scale modeling projects end-to-end.
- Familiarity with generative AI approaches is a plus.
- Data Engineering / ETL:
- Strong SQL skills; ability to design, debug, and optimize complex queries.
- Ability to navigate and explore large databases independently.
- Experience combining internal and external data sources.
Soft Skills & Business Leadership
- 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 concurrent initiatives in a fast-moving environment.
- Comfortable leading engagements and representing analytics with executive leadership.
Benefits & conditions
Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
- Award-winning culture
- Inclusion and diversity as a priority
- Performance Based Incentive Plans
- Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
- Generous PTO (including paid time to volunteer!)
- Up to 9.5% 401(k) employer contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
*All the benefits listed above are subject to the terms of their individual Plans .
And that's just the beginning..., The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$89,400.00-$183,500.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and 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. All benefits are subject to the terms and conditions of individual Plans.