Staff Data Scientist
We are seeking a highly skilled Data Scientist with 10+ years of industry experience to join our team. The successful candidate will have a strong background in data analysis, statistical modeling, and data visualization, as well as excellent communication skills.
The role is broadly focused on analytical problem-solving, metric definition/monitoring, and identifying new opportunities through data. Team leverages data analysis, statistical modeling, and visualization to drive business decisions.
Key Responsibilities:
Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and correlations; apply statistical and quantitative tools or techniques; interpret data and formulate deep-level insights.
Setting Goals and Success Metrics: Collaborate with stakeholders to define business objectives and key results (OKRs); define success metrics that measure short and long-term progress towards OKRs.
Visualization: Design visualizations that provide a clear narrative understanding as well as deep dive capabilities; develop high-performance reports and dashboards.
Storytelling Through Data: Develop compelling narratives to communicate data insights for technical and non-technical audiences; utilize various relevant tools and techniques to effectively present data; provide recommendations based on analytical findings and insights, with prioritization of actions and estimated impact.
Modeling: Develop and implement predictive and forecasting models using multiple techniques such as regression, clustering, classification, and more; evaluate and refine models based on performance metrics; generate actionable insights from model output.
Research and Experiment: Formulate multiple hypotheses that are tied together to answer business questions; develop a comprehensive research plan that identifies appropriate data collection tools, techniques, or methods to be used for a specific research problem; conduct research with appropriate methods to answer the research questions or test hypotheses.
Requirements:
10+ years of industry experience solving analytical problems using quantitative approaches, including defining metrics and goals, monitoring key metrics, understanding root causes of changes in metrics, and exploratory analysis to Client new opportunities.
10+ years of industry experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
Strong background in data analysis, statistical modeling, and data visualization.
Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences.
Key Projects/Day-to-Day Responsibilities:
Perform EDA to identify trends and generate deep-level insights
Define business OKRs and success metrics with stakeholders
Build dashboards and visualizations for clear narrative understanding
Present data findings and recommendations to mixed audiences
Develop predictive models and conduct research/experimentation
Must-Have Skills:
Data Analysis & SQL Strong EDA skills with advanced SQL proficiency
Setting Goals & Success Metrics Ability to collaborate with stakeholders on defining OKRs and measuring progress
10+ years of quantitative/analytical experience Using scripting languages (Python), statistical tools, and data querying at scale
Nice-to-Haves:
Visualization Designing dashboards and high-performance reports
Storytelling Through Data Communicating insights to technical and non-technical audiences
Predictive/Forecasting Modeling Regression, clustering, classification techniques
Disqualifiers:
Candidates who are strong on paper but weak in hands-on SQL/coding
Pure researchers with no applied/industry experience
Candidates lacking communication/storytelling skills (technical-only profiles)
Those needing heavy onboarding support or hand-holding role requires independence
Interview: 2-3 Rounds
Coding Round SQL Technical Screening
Case study
Behavioral
