

E-Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in New York, NY (Hybrid) with a contract length of over 6 months, offering a competitive pay rate. Requires a Bachelor’s degree, 2+ years of data science experience, proficiency in SQL and Python, and familiarity with MLOps.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#SQL (Structured Query Language) #ML (Machine Learning) #Data Extraction #Regression #Mathematics #Programming #Data Engineering #Version Control #Automation #Data Science #Python #"ETL (Extract #Transform #Load)" #GIT #Computer Science #NLP (Natural Language Processing)
Role description
Job Details:
Job Title: Data Scientist
Location: New York, NY (Hybrid)
Type : Full Time
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
Job Details:
Job Title: Data Scientist
Location: New York, NY (Hybrid)
Type : Full Time
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






