Senior Data Scientist - Performance Analytics
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Protocol Intelligence
Data-driven signals on your job's competitivenessWell-known brand, metro location, popular mid-level data science role with broad skillset increases candidate competition.
Technical skills are transferable, but commercial performance analytics and industry context require domain familiarity.
Explicit 4–7 years requirement and mandatory Python/SQL, BI, ML, and deployment skills raise screening rigor.
Job Description
Structured overview of role & requirementsAbout This Role
Lead analytics workstreams from problem framing to deployment for monitoring, explaining, and predicting business performance.
Develop and maintain trusted dashboards, predictive models, and AI-enabled decision-support tools to enhance decision speed and quality.
Collaborate cross-functionally with business, IT, and data teams to ensure data quality, compliance with governance standards, and adoption of analytics products.
Minimum Requirements
4-7 years of experience in data science, advanced analytics, commercial analytics, business intelligence, or related fields.
Proficiency in Python and SQL for data preparation, analysis, and statistical modeling; experience with BI tools like Power BI or Qlik.
Bachelor's or Master’s degree in Computer Science, Data Science, Econometrics, AI, Applied Math, Statistics, Engineering, Business Analytics, or related quantitative discipline.
Work onsite at least 3 days per week as required for office-based teams.
Ideal Candidate Profile
Experienced in translating business priorities into analytical solutions with clear recommendations and measurable impact on business decisions.
Comfortable managing cross-functional analytics projects in complex, matrixed, or multi-market environments.
Familiar with cloud data platforms (e.g., Azure, Databricks, ADL), production ML, MLOps, and responsible AI practices.