Senior Data Scientist
Primary Skills
- Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
Specialization
- Data Science Foundation: Senior Data Scientist
Job requirements
- Key Responsibilities • Develop and maintain predictive models to support business decision-making • Design and implement feature engineering pipelines using diverse data sources • Perform exploratory data analysis to uncover patterns, trends, and key drivers • Build segmentation and cohort analyses to better understand customer behavior • Evaluate model performance using appropriate metrics and continuously refine approaches • Translate analytical results into clear, actionable insights for business stakeholders • Create data visualizations and dashboards to communicate findings effectively • Collaborate with engineering teams to deploy and scale models in production environments • Ensure data quality, consistency, and reproducibility across workflows ________________________________________ Required Qualifications • 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics • Strong proficiency in Python (pandas, numpy, scikit-learn) • Experience with feature engineering, model development, and evaluation • Familiarity with large-scale data processing (e.g., Spark, Databricks) • Experience with SQL and data warehousing platforms • Strong understanding of statistical modeling and machine learning techniques • Experience building data visualizations (e.g., Power BI, matplotlib, seaborn) ________________________________________ Preferred Qualifications • Familiarity with cloud environments (Azure) • Exposure to end-to-end ML pipelines and MLOps practices • Experience working with business stakeholders in data-driven environments
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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