Senior Data Scientist

About the role

As a Senior AI Scientist, you will drive profitable growth and business innovation by applying advanced machine learning techniques and cutting-edge AI technology.

Responsibilities

• Drive profitable growth and business innovation by applying advanced machine learning techniques and cutting-edge AI technology.
• Lead high-impact data science projects that revolutionize product personalization, marketing effectiveness, channel optimization, customer experience, and operational efficiency.
• Work closely with a team of data scientists, ML engineers, software developers, and business stakeholders to design, build, and deliver next-generation AI/ML solutions.
• Design and implement agentic AI solutions to elevate the customer experience, optimize offer personalization, and automate complex customer queries.
• Develop predictive models to forecast customer behavior and business events, translating complex technical outcomes into strategic insights for partners across marketing, customer experience, and engineering teams.
• Oversee the end-to-end development and operational lifecycle, diving into root causes to solve complex technical challenges.
• Step into discussions with key business leaders to align data science initiatives with broader business strategies and identify new growth opportunities.
• Partner with engineering teams to deploy models into production (both real-time pipelines and batch processing) and systematically track model performance.
• Drive technical excellence through active research and the practical application of emerging theories, tools, and technologies.

Requirements

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
• Foundational knowledge in mathematics, statistics, computer science, engineering, or a related quantitative field.
• Experience developing and deploying AI agents end-to-end, with solid hands-on knowledge of LLMs, RAG, Google ADK, and LangGraph.
• Demonstrated success leading large-scale data science or agentic framework projects from ideation through to production.
• Hands-on programming experience in Python and SQL.
• Experience with machine learning/deep learning algorithms, including Transformers, multi-agent frameworks, NLP, and expertise in using PyTorch and Scikit-Learn packages.
• Familiarity with Git repositories, CI/CD pipelines, and standard version control workflows.
• Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake, or Redis.
• Experience with GCP, AWS, or other cloud computing services.

Qualifications

• Master's in Computer Science, Engineering, Data Science, or a related field.
• Proven ability to leverage Hugging Face packages (such as CLIP) and apply the latest machine learning research from open-source repositories to real-world projects.
• Background in traditional software development practices, web services (React, Django), and containerization (Docker).
• Experience designing, optimizing, and scaling Recommendation and Ranking systems for telecom use cases.
• Experience aligning multimodal parsing systems (PDF/image text extraction) with business offer execution pipelines.
• Strong communication and interpersonal influencing skills.
• Excellent problem-solving and critical-thinking capabilities.

Skills

• Advanced knowledge of machine learning/deep learning algorithms.
• Experience with LLMs, RAG, Google ADK, and LangGraph.
• Ability to translate complex technical outcomes into strategic insights.
• Strong communication and interpersonal influencing skills.
• Excellent problem-solving and critical-thinking capabilities.

Benefits

• Health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance.
• Matched 401(k) savings plan.
• Up to 8 company paid holidays per year and up to 6 personal days per year.
• Paid parental leave.
• Adoption assistance and tuition assistance.
• Other incentives.

Pay

$101,000.00 - $194,000.00

Schedule

This is a hybrid role with a defined work location that includes working from home and a minimum of three days per week in the office. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours 40