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Data Scientist Supervisor
Tech Providers Inc. • Los Angeles, CA 90012 • Posted 1 day ago
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Hybrid • Full-time • Contract • Mid Level Manager
Job Highlights
Using AI ⚡ to summarize the original job post
The Data Science Supervisor at Tech Providers Inc. is responsible for managing a client-centric relational database, advising on complex SQL database buildouts, and leading projects with analytical tools. This role requires strong technical knowledge, proficiency in machine learning techniques, statistical analysis, data manipulation, and data visualization, as well as experience in Python, R, SQL, and big data technologies. The position is hybrid, located in Los Angeles, CA, and offers a 06+ months contract with potential for extension.
Responsibilities
- Manage a client-centric relational database
- Advise on complex buildouts within an SQL database
- Lead projects with analytical tools
- Facilitate projects where the best path forward is unclear
- Understand machine learning techniques, including supervised and unsupervised learning
- Interpret data and validate models through statistical analysis and hypothesis testing
- Manipulate data using tools like Pandas, NumPy, and Scikit-learn
- Handle and transform large datasets with big data technologies such as Apache, Hadoop, and Spark
- Create insightful visualizations with advanced skills in data visualization
- Analyze data and query databases using Python and SQL
- Deploy machine learning models using tools like Docker, Flask, or cloud solutions
Qualifications
Required
- Six years of experience, including three years supervising a team of data science professionals
- Bachelor’s degree or higher
- Proficiency in Python and R for data analysis
- SQL for database querying
- Experience in deploying machine learning models
- Knowledge of data engineering practices
Preferred
- Master’s or Doctoral degree in applied research areas such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health
About Tech Providers Inc.
Tech Providers, Inc. (TPI) is a technical consulting and professional recruitment agency serving businesses and professionals globally. TPI specializes in IT, engineering, finance, and accounting roles, offering talent selection and screening services to employers worldwide. Contact TPI for staffing solutions tailored to your organization's needs.
Full Job Description
Location: Los Angeles, CA 90012 (Hybrid)
Duration: 06+ Months Contract with potential for extension
Skills Required:
The Data Science Supervisor has experience working directly with a client-centric relational database and managing individuals
They have strong technical knowledge and are comfortable advising on complex buildouts within an SQL database
They are comfortable with various analytical tools and have taken the lead on projects where the best path forward is unclear
They are seasoned and effective facilitators with a customer service mindset
The Data Science Supervisor deeply understands machine learning techniques, including supervised and unsupervised learning, such as regression, classification, clustering, and dimensionality reduction
Proficiency in statistical analysis and hypothesis testing is essential for interpreting data and validating models
Expertise in data manipulation using tools like Pandas, NumPy, and Scikit-learn, coupled with familiarity with big data technologies such as Apache, Hadoop, and Spark, is crucial for handling and transforming large datasets
Advanced skills in data visualization with Matplotlib, Seaborn, Tableau, or Power BI are required to create insightful visualizations
Proficiency in Python and R for data analysis and SQL for database querying is expected, alongside experience in deploying machine learning models using tools like Docker, Flask, or cloud solutions (AWS, Azure)
Additionally, knowledge of data engineering practices, including data pipelines, ETL processes, and data warehousing, is essential for efficient data management and processing.
Experience Required:
Six (6) years of experience, including three (3) years supervising a team of data science professionals serving as subject matter experts and coordinating and overseeing complex data science projects to support program, policy, and operational decision-making.
Education Required:
This classification requires possession of a bachelor’s degree or higher
A Master’s or Doctoral degree from an accredited college or university in applied research, such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health, may be substituted for two (2) years toward the minimum years of qualifying experience.
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