Data Scientist
Data Scientist
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1 Vacancy
Job Description
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Experience Required: 6 to 12 years
Level: Mid to Lead positions
12 Years Experience required
Understanding of machine learning and deep learning models to select and implement for prediction classification and clustering projects
Apply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition retention pricing cross-selling operations and trading
Passion to learn latest Al techniques and explore applications for large language models
Strong knowledge of Python or R (Pandas NumPy Scikit-learn TensorFlow PyTorch).
Solid SQL skills and experience working with large-scale databases.
Proficiency in machine learning algorithms: regression classification clustering NLP etc.
Design build and deploy NLP models for tasks such as entity recognition text classification sentiment analysis topic modeling summarization and question answering.
Apply advanced techniques including LLMs embeddings and prompt engineering where needed.
Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
Ability to communicate and establish good relations with multi-disciplinary teams
Proficiency with Python including pandas scikit-learn
Experience in Spark or Pyspark
Minimum Requirements:
Bachelors degree in a quantitative field such as Statistics Mathematics Computer Science Economics Engineering or Operations Research required.
2 years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Preferred Qualifications:
Advanced Degree (MS or PhD) in Statistics Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.
elligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Employment Type
Full Time
