Job Details:
Job Title: Data Scientist
Location: New York, NY (Hybrid)
Type : Full Time
Responsibilities:
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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.
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Design and build end to end machine learning solutions and statistical frameworks across fan behavior.
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Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning
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Lead recurring analytical programs with a focus on reproducibility and automation.
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Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products.
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Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
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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.
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Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact.
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Contribute to the continuous improvement of analytics processes and methodologies.
Core Skills (Required):
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Bachelor’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
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2+ years
of hands-on experience in a data science role with a track record of shipping models into production.
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Extremely proficient in SQL for robust data extraction and analysis.
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Strong programming skills in Python.
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Familiarity with Git and code/data version control.
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Solid statistical foundation
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Exposure to NLP techniques for processing unstructured survey data.
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Excellent communication, problem-solving, and critical thinking skills.
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Self-started and willingness to take on challenging initiatives
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Effective time management and attention to detail
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Familiarity with MLOps concepts