Data Scientist

* **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).