Senior Data Scientist

About the Role

Key Responsibilities

• Lead the cleaning and preparation of complex data from diverse sources to ensure data quality and readiness for advanced analysis
• Design and implement statistical models to solve business problems and drive business decisions
• Collaborate with senior business leaders and cross-functional teams to translate strategic objectives into data-driven solutions
• Apply advanced statistical and predictive modeling techniques to optimize customer experience, revenue, operations, and other key outcomes
• Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance
• Create clear, compelling visualizations and narratives to communicate complex insights to technical and non-technical stakeholders
• Stay current on emerging data science methodologies, tools, and technologies; evaluate and propose innovative approaches
• Establish efficient, automated processes for model development, model validation, model implementation, and large-scale data analysis
• Translate complex business data into strategic insights that inform planning, product development, and decision-making
• Conduct root cause analyses and uncover key trends to address critical business challenges and opportunities
• Serve as a trusted advisor and liaison to product teams, ensuring insights are embedded into decision-making across the organization
• Partner with internal stakeholders to analyze and interpret market data, supporting more effective product positioning and marketing strategies
• Mentor junior members of the analytics & insights team to elevate overall team capability and maturity in data science
• Foster a culture of continuous learning and contribute to the establishment of best practices in model development, testing, and deployment

Requirements

• Bachelor's Degree in Mathematics, Statistics, Computer Science, Data Science, Economics, or related field
• Minimum of 5 years of experience utilizing descriptive, predictive and/or prescriptive analytics to provide business insights
• Experience with data mining, mathematics and statistical analysis; experience with applied data science and predictive analytics using large/complex data sets
• Strong knowledge of Microsoft Excel (including macro skills)
• Applied statistics (general, probability, sampling, Bayesian, etc.)
• Coding in R, Python, C/C++
• Knowledge of algorithms and models such as regression, ensemble, decision trees, clustering
• Experience with databases (SQL, NoSQL)
• Familiarity with frameworks and libraries like TensorFlow, scikit-learn, xgboost, pandas
• Strong communication skills (verbal & written) across all levels of the business
• Ability to translate data into understandable documents and present findings to internal stakeholders
• Business and financial acumen to translate data points into key measures and insights
• Ability to define complex technical terms clearly for non-technical audiences
• Cross functional teamwork skills, working with data engineers, business analysts, and management teams
• Ability to operate without fully defined structures and identify improvement initiatives

Nice to Have

• Knowledge of Microsoft Office (Outlook, PowerPoint, Word)
• Experience with data processing tools like Hadoop, Spark, Alteryx
• Knowledge of visualization tools such as Tableau, PowerBI

Qualifications

• Bachelor's Degree in relevant field
• Minimum 5 years of professional experience in data science or analytics

Benefits & Perks

• Comprehensive benefits package including health, vision, and dental insurance effective from day one
• 401(k) retirement savings plan with up to 100% match on the first 4% of employee contributions, with immediate vesting
• Educational assistance program reimbursing up to 100% of tuition, lab fees, textbooks, and related expenses
• Work schedule includes hybrid work options, with remote work up to two days per week
• Additional perks include healthcare and wellness coverage, life and disability insurance, and Paid Time Off