Master's degree in Statistics, Computer Science, Data Science, or a related field. Bachelor’s degree acceptable for “exceptional candidates”.
7+ years of experience in a data science role, with a proven record of accomplishment developing and deploying successful machine learning solutions.
Strong proficiency in Python, R, or other statistical programming languages.
Expertise in machine learning algorithms, including deep learning, ensemble methods, and time series analysis.
Experience with specific ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience with cloud services specifically tailored for ML development and deployment (Vertex AI, BigQuery, SageMaker, Redshift, Azure ML Studio).
Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra), including data modeling, query optimization, and data integration.
Strong proficiency in SQL for data querying, manipulation, and analysis, including experience with advanced SQL features like window functions and CTEs.
Experience using Python libraries like Pandas, NumPy, and Dask for data cleaning, transformation, and feature engineering.
Strong understanding of statistical concepts, hypothesis testing, and data analysis.
Demonstrated leadership skills, including the ability to mentor and guide other data scientists.
Proven ability to identify opportunities for AI/ML applications and communicate their potential value to business stakeholders.
Job Type: Contract
Pay: $52.28 - $70.96 per hour
Benefits:
401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance
Schedule:
8 hour shift
Day shift
Application Question(s):
W2 Only no C2C
Experience:
Python, R, or other statistical programming languages: 5 years (Required)
Vertex AI, BigQuery, SageMaker, Redshift, Azure ML Studio: 5 years (Required)
like TensorFlow, PyTorch, or scikit-learn: 5 years (Required)
