Staff Data Scientist, Product Engineering, EMEIA, India

Job Summary

The position is responsible for developing data-driven solutions that support business and product decisions. It applies statistical modeling, machine learning, and data analysis techniques to extract insights, build predictive models, and develop tools that enhance internal decision-making and customer-facing capabilities.

Essential Duties & Responsibilities

Collaborate with cross-functional teams to define analytical questions and translate them into data science problems.

Collect, clean, and prepare large and complex datasets for analysis, often including unstructured text and associated metadata.

Build and evaluate models to solve a variety of problems such as classification, clustering, forecasting, or user behavior analysis.

Develop and implement methodologies to measure model and system performance using appropriate statistical or behavioral metrics.

Communicate findings and recommendations to technical and non-technical stakeholders in clear and actionable terms.

Support the deployment, maintenance, and ongoing refinement of data science solutions in production environments.

Document methodologies, assumptions, and results to support reproducibility and team knowledge sharing.

Stay informed about advancements in data science, AI, and statistical modeling to apply emerging techniques as appropriate.

Perform other duties and responsibilities as required to support business needs.

Job Level Specifications

Mastery knowledge of industry best practices and disciplines. Considered a subject matter expert within the organization and contributes to the development of new concepts, techniques and standards.

Develops solutions to highly complex and uniquely challenging situations. Assignments require extensive evaluation of alternatives and variables. Expected to make improvements to policies and procedures.

Works independently toward long-range goals and objectives. Assignments are often self-initiated using independent judgment and discretion. May act as informal team lead and/or coach less experienced team.

Serves as consultant to management and/or internal/external spokesperson for the organization on major initiatives related to policies, plans and long-range objectives.

Actions may impact on the organization and its reputation. Effects of erroneous decisions may be long-lasting, influence the future course of the organization and/or require the expenditure of extensive additional resources.

Minimum Qualifications

Education: University degree preferred.

Typical experience: 8+ years in related role or experience.

Proficiency in Python or similar programming languages used in data science.

Strong foundation in statistics, machine learning, or a related quantitative field.

Ability to work iteratively and experimentally to develop solutions in an agile environment.

Familiarity with communicating technical findings to varied audiences.

Actual experience may vary depending on role complexity, geography, and internal development opportunities or a comparable mix of training, education, and experience.

Preferred Qualifications

Experience working in a collaborative data science team.

Knowledge of standard libraries and tools such as Pandas, NumPy, SciPy, scikit-learn, or SpaCy.

Exposure to big data tools (e.g., Spark, Dask, MapReduce) and distributed computing.

Familiarity with cloud environments (e.g., AWS EC2, S3) and Linux-based workflows.

Experience with version control tools (e.g., Git) and lightweight application prototyping frameworks (e.g., Dash, Shiny).

Working Conditions & Physical Demands

This position requires the ability to remain in a stationary position for extended periods and involves frequent use of a computer and other standard office equipment. It also requires effective communication in person and through digital channels, occasional movement within the workspace, and handling of light materials (typically under 10 pounds). Specific vision abilities include close vision and the ability to adjust focus. It may be performed in an office, remote, or hybrid work environment, depending on business needs and applicable work arrangements. Standard working hours apply, though flexibility may be required to accommodate deadlines or collaboration across time zones. Travel may be required depending on business needs. Reasonable accommodation(s) may be made to enable individuals with disabilities to perform the essential functions.

The responsibilities listed above are not all inclusive and may be changed at any time based on the needs of the business.