Data Scientist [Multiple Positions Available]
About The Position
Duties: Generate analytical insights and develop statistical solutions that streamline business processes, uncover new opportunities, and bolster strategic decision-making. Develop and apply advanced statistical and mathematical models to analyze complex data trends and patterns. Perform data collection, organization, interpretation, and summarization. Conduct research on market trends and perform analysis of internal data. Utilize findings to craft actionable insights, guiding the strategic direction of the organization and identifying potential areas for product innovation and growth. Collaborate with cross-functional teams across product, business, and technology teams to implement data-driven strategies, supporting the creation and refinement of analytical models and algorithms that drive customer growth, improve engagement, and boost operational efficiency. Document and communicate complex technical and analytical results in a clear, concise manner to non-technical audiences, ensuring insights are accessible and actionable for decision-makers and senior management. Own monthly reporting of KPIs, highlighting any anomalies in trends for senior leadership. QUALIFICATIONS: Minimum education and experience required: Master's degree in Business Analytics, Data Science, Statistics, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Data Analyst, Project Engineer, or related occupation. Skills Required: This position requires experience with the following: Performing SQL querying in Teradata, Oracle, or Snowflake database systems; Performing data manipulation, data structuring, data design flow, and query optimization using SQL or Python; Designing and developing analytical solutions and automating reports using SQL, Python, Alteryx, and Tableau; Designing, developing, and delivering dashboards, reports, and scorecards using Adobe Analytics; Performing data analysis using Adobe Analytics; Performing statistical analysis, deriving insights, and evaluating experiments or A/B tests using machine learning methods, including logistic regression, multivariate regression, classification techniques, attribution, cohort analysis, associative rule mining, and predictive modeling; Translating complex data into actionable insights for strategic decision-making; Synthesizing data analysis results into Tableau dashboards and Excel reports for presenting findings to business stakeholders.
Requirements
- Master's degree in Business Analytics, Data Science, Statistics, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Data Analyst, Project Engineer, or related occupation.
- Performing SQL querying in Teradata, Oracle, or Snowflake database systems
- Performing data manipulation, data structuring, data design flow, and query optimization using SQL or Python
- Designing and developing analytical solutions and automating reports using SQL, Python, Alteryx, and Tableau
- Designing, developing, and delivering dashboards, reports, and scorecards using Adobe Analytics
- Performing data analysis using Adobe Analytics
- Performing statistical analysis, deriving insights, and evaluating experiments or A/B tests using machine learning methods, including logistic regression, multivariate regression, classification techniques, attribution, cohort analysis, associative rule mining, and predictive modeling
- Translating complex data into actionable insights for strategic decision-making
- Synthesizing data analysis results into Tableau dashboards and Excel reports for presenting findings to business stakeholders
Responsibilities
- Generate analytical insights and develop statistical solutions that streamline business processes, uncover new opportunities, and bolster strategic decision-making.
- Develop and apply advanced statistical and mathematical models to analyze complex data trends and patterns.
- Perform data collection, organization, interpretation, and summarization.
- Conduct research on market trends and perform analysis of internal data.
- Utilize findings to craft actionable insights, guiding the strategic direction of the organization and identifying potential areas for product innovation and growth.
- Collaborate with cross-functional teams across product, business, and technology teams to implement data-driven strategies, supporting the creation and refinement of analytical models and algorithms that drive customer growth, improve engagement, and boost operational efficiency.
- Document and communicate complex technical and analytical results in a clear, concise manner to non-technical audiences, ensuring insights are accessible and actionable for decision-makers and senior management.
- Own monthly reporting of KPIs, highlighting any anomalies in trends for senior leadership.
Benefits
- competitive total rewards package including base salary determined based on the role, experience, skill set and location
- Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions
- comprehensive health care coverage
- on-site health and wellness centers
- a retirement savings plan
- backup childcare
- tuition reimbursement
- mental health support
- financial coaching
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
