Job Description

• Data Scientist
• Hybrid, NY
• Up to $125k base + 7-10% bonus

Responsibilities:

• Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions.
• Design and build end to end machine learning solutions and statistical frameworks across fan behavior.
• Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning
• Lead recurring analytical programs with a focus on reproducibility and automation.
• Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products.
• Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
• Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions.
• Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact.
• Contribute to the continuous improvement of analytics processes and methodologies.

Core Skills (Required):

• Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
• 2+ years of hands-on experience in a data science role with a track record of shipping models into production.
• Extremely proficient in SQL for robust data extraction and analysis.
• Strong programming skills in Python.
• Familiarity with Git and code/data version control.
• Solid statistical foundation
• Exposure to NLP techniques for processing unstructured survey data.
• Excellent communication, problem-solving, and critical thinking skills.
• Self-started and willingness to take on challenging initiatives
• Effective time management and attention to detail
• Familiarity with MLOps concepts

Qualifications (Preferred):

• Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).

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