Data Scientist

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K plan

Short-term disability

Life insurance

Job summary

Randstad Digital Americas is seeking a Data Scientist for a long-term contract in St. Louis, MO. The role focuses on building data-driven insights, developing AI/ML solutions, and delivering actionable reports for client services and product enhancements.

Strong Python and Databricks experience are required, with a bachelor’s degree as a baseline qualification. Responsibilities include creating datasets, designing data pipelines, and collaborating with data engineers and analysts to optimize

Qualifications

• ML/data science knowledge required; AI/GenAI experience is a plus but optional.
• Python required; R and other languages not acceptable substitutes.
• Databricks experience is preferred.

Responsibilities

• Generates reports and datasets or report information for end-users using system tools and queries.
• Designs and maintains methods to consolidate and analyze structured and unstructured data for insights.
• Builds machine learning / AI solutions that create measurable value for the business.
• Translates business requirements into data science solutions aligned to goals.
• Works with data analysts to review data pipelines and optimization opportunities.

Skills

AI concepts

Exploratory data analysis

Statistical analysis

Education

Bachelor's degree

Tools

Python

Databricks

Job description

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)

Skills

Artificial Intelligence (AI),exploratory data analysis,data pipelines,data warehouse,database,databases,machine learning,unstructured data,business requirements,client services,dashboards,collect data,data science,mathematical,statistical concepts,statistical analysis,Translates,product enhancement,user information

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.

Accessibility Statement

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].

Benefits

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).

Posting Duration

This posting is open for thirty (30) days.