Data Scientist Supervisor # 26-28558

Us Tech Solutions; Los Angeles (CA); On-site; USD 140,000 - 170,000; Full time

Job summary

US Tech Solutions is seeking a Data Science Supervisor in Los Angeles to lead a team of data scientists and analysts. You will direct ML model development, supervise complex projects, and ensure robust ETL pipelines and secure data practices across cloud environments.

The role emphasizes Agile leadership, technical documentation, and collaboration with engineering to deliver high-quality data products for client-centric decision making.

Qualifications

• The candidate has 6 years of experience, including 3 years supervising data science professionals.
• Expertise in ML techniques (supervised and unsupervised) and statistical analysis.
• Hands-on proficiency with Pandas, NumPy, Scikit-learn, Spark/Hadoop, Python, R, and SQL.
• Experience deploying models with Docker, Flask, or cloud platforms (AWS/Azure).
• Advanced data visualization with Tableau, Power BI, Matplotlib, or Seaborn.

Responsibilities

• Lead data science projects and supervise a team to support policy and operational decisions.
• Advise on complex database buildouts and manage backend pipelines and cloud environments (Databricks).
• Own technical and code-level documentation; co-lead system docs, API layouts, and ETL logic.
• Serve as Technical Lead for data security and Lead for QA, overseeing unit testing and code integrity.
• Engage in Agile/Scrum workflows, drive sprint planning, manage blockers, and ensure timely deliverables.

Skills

Team leadership

ML techniques

Statistical analysis

Hypothesis testing

Pandas/NumPy/Scikit-learn

Apache Spark/Hadoop

Python

R

SQL

Docker/Flask/AWS/Azure

Tableau/Power BI/Matplotlib/Seaborn

Education

Master’s degree in Data Science or related

Tools

Docker

Flask

AWS

Azure

Tableau

Power BI

Matplotlib

Seaborn

Databricks

Python

SQL

Job description

Duration: 12 months

Schedule: 8:00 AM - 5:00 PM PST

Job Description:

• The Data Science Supervisor has experience working directly with client-centric relational databases and managing personnel

Responsibilities:

• They possess strong technical knowledge, advise on complex database buildouts, and comfortably lead projects where the strategic path forward is ambiguous.
• They are seasoned facilitators with a customer service mindset, functioning as both a technical and supervisory lead within a collaborative team structure while reviewing the work products of data scientists and analysts alongside engineering. They serve as the team’s Lead for ETL, backend pipelines, and cloud environments (such as Databricks).
• They act as the Primary Lead for technical and code-level documentation, and Co-Lead for system documentation, API layouts, and ETL business logic.
• Additionally, they function as the Technical Lead for data security implementation and the Lead for Quality Assurance, overseeing unit testing and code integrity protocols.
• Additionally, the Data Science Supervisor will actively engage in team Agile/Scrum workflows, consulting on technical feasibility and backend effort, supporting deployment and change management, and directly driving sprint planning and daily stand-ups by managing blockers and committing to technical deliverables.

Skillsets:

• 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
• The supervisor possesses deep expertise in machine learning techniques (supervised and unsupervised learning, including regression, classification, clustering, and dimensionality reduction), statistical analysis, and hypothesis testing.
• They bring hands-on proficiency in data manipulation (Pandas, NumPy, Scikit-learn), big data frameworks (Apache Spark, Hadoop), Python, R, and SQL, alongside experience deploying models using Docker, Flask, or cloud platforms (AWS, Azure).
• The Data Science Supervisor will have advanced data visualization skills in Tableau, Power BI, Matplotlib, Seaborn or similar, as it is a foundational knowledge of data engineering practices, pipeline design, and data warehousing.

Education:

• A Master’s 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.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement:

By applying, you acknowledge that AI-assisted tools may be used during hiring.