Qureos Mentor

E-Solutions

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 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.
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 Core Skills (Required):
 
 
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 Bachelor&rsquo;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
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 </ul>
 
 
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Data Scientist

Join E-Solutions and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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Data Scientist