Data Scientist

Randstad Digital Americas; St. Louis (MO); On-site; USD 83,000 - 96,000; Full time

Job summary

Randstad Digital Americas in St. Louis, Missouri is seeking a Data Scientist for a long-term contract role. You will analyze structured and unstructured data, build data pipelines, and deliver actionable insights to support client services and product decisions.

The role requires a Bachelor's degree and proficiency in Python and Databricks, with SQL skills as a plus. Typical hours are 9am–5pm, with hourly compensation of $60–$70.

Qualifications

• ML/data science knowledge (methodology-agnostic; AI/GenAI experience optional).
• Proficiency in Python required; R or other languages not acceptable substitutes.
• Databricks experience on current platform.
• SQL knowledge helpful for data exploration across ingested sources.

Responsibilities

• Generates reports and datasets for end-users using system tools and queries.
• Designs, develops and programs methods to consolidate and analyze structured and unstructured data for insights.
• Uses advanced mathematical and statistical concepts to identify trends in datasets.
• Builds ML/AI solutions that create value for the business.
• Addresses business problems by applying advanced analytics techniques on big data sets.
• Designs databases for unstructured data sets and defines data storage and access.
• Collaborates with data analysts and data engineers on data pipelines and optimization.

Skills

ML/Data science knowledge

Python

Databricks

SQL

Education

Bachelor's degree

Job description

Job Summary Our client is looking for a Data Scientist to join their team for a long term position.

Job Summary Our client is looking for a Data Scientist to join their team for a long term position.
location: St. Louis, Missouri
job type: Contract
salary: $60 - 70 per hour
work hours: 9am to 5pm
education: Bachelors

Responsibilities Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests.

• Designs, develops and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement. Analyzes and models data to understand complex business issues and provide insight to decision makers. Integrates data from multiple sources to produce requested or required data elements. Programs and maintains reports, information dashboards, data generators, canned reports and other end-user information portals or resources.
• Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets.
• Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers.
• Builds or defines machine learning / Artificial Intelligence (AI) solutions that create value for the business.

Key Responsibilities Include

• Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets.
• Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed.
• Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.
• Conducts exploratory data analysis from complex data sources and builds key data sets.
• Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities.
• Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.

Qualifications The ideal candidate will have: ML/data science knowledge (methodology-agnostic; AI/GenAI experience is a plus but optional) Python (non-negotiable - R and other languages not acceptable substitutes) Databricks experience (current platform) Nice-to-Have SQL (needed for data exploration across ingested source systems) Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [e-mail]. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.