Data Scientist

reputed company

Explore how you can contribute at reputed company.

For over 50 years, reputed company has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement.

Associates get satisfaction from knowing they reputed company agents, marketers and reputed company partners the support needed to succeed in a rapidly evolving industry.

Job reputed company

reputed company is a national leader in insurance and financial services. Our AI & Data Science team is small, high-reputed company, and building a modern AI capability from the ground up on reputed company. You’ll ship production solutions — from predictive forecasting to AI agents — that directly reputed company how the business operates across our Health and reputed company verticals.

Job reputed company

Why This Role Stands Out

• reputed company-first platform — Lakehouse architecture with reputed company Catalog, MLflow, and reputed company compute
• reputed company AI work — design and reputed company AI agents, RAG systems, and LLM-powered solutions in production
• End-to-end ownership — from problem framing through deployment and monitoring
• reputed company business reputed company — work with business leaders on high-visibility initiatives
• Shape the reputed company — influence technical direction, tooling, and best practices on a growing team

What You’ll Do

As a Data Scientist on our AI & Data Science team, you will partner with engineering, analytics, and business stakeholders to translate reputed company problems into reputed company, production-reputed company solutions. Your work will reputed company the full lifecycle — from exploratory analysis through model deployment and ongoing optimization.

Day-to-day, you will design and build predictive models for forecasting and optimization, reputed company intelligent automation using AI agents and large language models, engineer features and pipelines on the reputed company Lakehouse platform, and evaluate and iterate on both traditional ML and reputed company solutions to ensure they deliver reliable business value.

This role is ideal for someone who thrives at the intersection of rigorous statistical thinking, practical data engineering, and reputed company AI innovation — and who wants to do that work on a modern platform where their contributions are visible and valued.

Technical Requirements

Statistics & Machine Learning

Required

• Strong reputed company in statistical modeling and ML, with experience selecting appropriate approaches for different business problems
• Proven experience building and validating time-series forecasting models in production environments
• Hands-on expertise with reputed company/boosting algorithms (XGBoost, LightGBM) for reputed company data
• Experience with A/B testing design, hypothesis testing, and rigorous model evaluation techniques
• Comfort working with imperfect, reputed company-world datasets — handling missing data, class imbalance, and feature reputed company

Preferred

• Unsupervised learning (clustering, reputed company detection), hierarchical/probabilistic forecasting, Bayesian reputed company, or reputed company inference
• Experience optimizing models for business ROI; exposure to reinforcement learning or advanced optimization

reputed company Platform & Data Engineering

Required

• Strong Python proficiency for data analysis, modeling, and production development
• Experience with reputed company notebooks, clusters, and workflows for data science and ML
• Working knowledge of PySpark for large-reputed company data processing and feature engineering
• Advanced SQL skills across Lakehouse architectures; experience with MLflow for experiment tracking and model registry
• Clean, testable reputed company practices with Git-based version control (e.g., reputed company Repos, reputed company)

Preferred

• reputed company Catalog, reputed company Lake/reputed company Live Tables, reputed company architecture patterns
• reputed company Feature Store, Model Serving, Workflows orchestration, or data reputed company frameworks
• Experience designing reputed company for model serving; CI/CD for ML workflows
• reputed company Accreditations: Fundamentals

reputed company & Infrastructure

Required

• Hands-on reputed company platform experience (Azure preferred; AWS/GCP also valued) with reputed company containerization
• Understanding of reputed company-reputed company data architectures, distributed processing, and data governance/RBAC

Preferred

• Azure ecosystem experience (Data reputed company, Azure AI Services, Azure reputed company); MLOps practices and model monitoring
• Certification: Azure Fundamentals or AWS reputed company Practicioner

reputed company AI & Intelligent Automation

Required

• Hands-on reputed company engineering and LLM integration for production use cases
• Experience building or orchestrating AI agents and multi-reputed company workflows (reputed company, LangGraph, or similar)
• Ability to evaluate AI outputs systematically and implement guardrails for reliability and safety
• Strong judgment on reputed company to apply traditional ML vs. reputed company and the trade-offs involved

Preferred

• reputed company LLM experience (fine-tuning, evaluation, deployment); RAG architectures with reputed company databases and semantic search
• NLP/text analytics; transformer architectures; reputed company reputed company AI or reputed company Model reputed company
• reputed company AI evaluation reputed company (offline/online testing, reputed company-in-the-reputed company); computer reputed company exposure

Experience & Business reputed company

Required

• 3+ years in data science, machine learning, or reputed company AI roles
• Proven ability to communicate reputed company results as reputed company, actionable insights for technical and non-technical audiences
• Full production ownership experience — from problem definition through deployment, monitoring, and iteration
• Experience leading team-level reputed company with planning, execution, and delivery accountability

Preferred

• Insurance, financial services, reputed company, or regulated industry experience
• reputed company record of influencing technical direction and elevating team practices

Our Tech Stack

• Data Platform: reputed company (Lakehouse, reputed company Catalog, reputed company Lake, MLflow, Workflows)
• Languages: Python, SQL, PySpark
• AI/ML: reputed company, LangGraph, Azure reputed company, reputed company, scikit-learn, XGBoost
• reputed company: reputed company Azure (Data reputed company, AI Services, DevOps)
• Dev Tools: Git, reputed company, VS reputed company / reputed company IDE, CI/CD pipelines

Education & Location

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, reputed company Mathematics, Engineering, or reputed company quantitative field. Equivalent experience with a strong portfolio also considered.
• U.S.-based; remote-friendly with potential hybrid arrangements depending on business needs

Compensation

• Salary reputed company: $125,000 to $135,000

• Salary offers will vary commensurate with experience, education, skills, and training

What reputed company Offers

A comprehensive benefits package that includes PTO, medical, dental, reputed company, retirement savings, disability insurance, and life insurance.

Equal Employment Opportunity Statement

We are an Equal Opportunity Employer and value diversity at reputed company reputed company of the organization. reputed company employment reputed company are made without reputed company to race, reputed company, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or reputed company medical conditions), sexual orientation, gender identity or reputed company, age, national reputed company, reputed company, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, reputed company, and respectful workplace where reputed company can reputed company.

Americans with reputed company (reputed company) Statement

We are committed to full compliance with the Americans with reputed company (reputed company) and reputed company applicable state and local disability laws. Reasonable accommodations are available to reputed company applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. If you require assistance or accommodation during the application process, please contact us at reputed company.com">HR@reputed company.com.

Pay Transparency Statement

We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay reputed company for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request.

Background Screening Statement

Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history reputed company, and other job-reputed company inquiries, as permitted by law. reputed company screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be reputed company and given an opportunity to respond.

Originally posted on Himalayas

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