Sr. Data Scientist

Job Description

As a Sr. Data Scientist, you will leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights.

You will work closely with cross-functional teams to influence business strategy and drive growth. You will lead efforts in developing models, analyzing large datasets, and communicating findings to stakeholders.

Who you are :

The ideal candidate is passionate about transforming data into knowledge, leveraging data science skills for solving complex business problems to drive business action.

You are comfortable, confident and energized operating in a rapidly changing environment, work well cross-functionally and communicate clearly.

And, you are passionate about the families and communities we serve.

Key Responsibilities

Data Science / Machine Learning Model Management and Development

• Maintain and manage legacy machine learning models.
• Develop, enhance, and test new machine learning models to support business growth initiatives.
• Conduct deep dive analysis and identify variance drivers.
• Evaluate model performance and monitor for drift.
• Implement thorough testing and evaluation to ensure model and code quality.

Data Analysis and Visualization

• Create dashboards and visualizations to communicate insights.
• Provide clear and actionable reporting for stakeholders.
• Handle ad-hoc analytics requests to support business decisions.
• Perform exploratory data analysis to uncover trends and patterns.
• Ensure data quality through rigorous data collection, cleaning, and preprocessing.

Collaboration and Communication

• Work closely with product, engineering, and business stakeholders to understand requirements, provide data-driven recommendations, and influence strategy.
• Collaborate with cross-functional teams to advance data and analytics capabilities.
• Identify opportunities to enhance data modeling and testing platforms.
• Communicate the value of data analytics to non-technical teams and guide them in applying insights.

Qualifications

• Educational Background : Degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• Experience : 6+ years of experience in data science / analytics roles, with a minimum of 3+ years focused on data science / machine learning modeling.
• Technical Skills : Strong proficiency in Python, PySpark, and SQL for machine learning, data exploration, and analysis.

Basic understanding of R.Familiarity with machine learning libraries and frameworks, including pandas, NumPy, seaborn, matplotlib, MLFlow, scikit-learn, TensorFlow, and PyTorch.

• Data Handling : Experience working with large, semi-structured datasets.
• Modeling Expertise : Proven experience in predictive modeling, machine learning techniques, and developing robust data science models.
• Communication : Ability to simplify and communicate complex data and advanced analytics to stakeholders in an actionable manner.
• Statistical Proficiency : Proficiency in A / B testing and strong knowledge of Bayesian and frequentist statistics, including concepts such as correlation, regression, and hypothesis testing.
• Ideally open to working in Eastern or Central time zone.

Preferred Qualifications

• Experience building models and developing solutions for Lead Scoring, Multi-Touch Attribution (MTA), and Marketing Media Mix Modeling (MMM).
• Knowledge of visualization tools such as Tableau / PowerBI.
• Experience working with data lakes and Databricks platform.
• Familiarity with version control systems like Git.

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Compensation

• Base Salary Range - $100,000 - $130,000
• Bonus - 10% of annual earnings
• Benefits : 401(k) plus matchDental insuranceHealth insuranceVision InsurancePaid Time Off

Additional Information

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