Data Scientist

CS&S STAFFING SOLUTIONS; Detroit (MI); On-site; USD 80,000 - 120,000; Full time

Job summary

A staffing agency is seeking a Data Scientist in Detroit, Michigan. The successful candidate will analyze large data sets to gain valuable insights and support business strategies. Responsibilities include developing predictive models, collaborating with teams, and driving data collection. Applicants should have advanced degrees or relevant experience in analytics, strong statistical methods knowledge, and proficiency in programming languages. The role offers an exciting opportunity to work with diverse data and influence business decisions.

Qualifications

• M.S. or Ph.D. in a relevant technical field or 3+ years experience.
• Extensive experience solving analytics problems.
• Strong knowledge of statistical methods and business analytics.
• Ability to communicate complex analysis clearly.

Responsibilities

• Identify and solve business challenges using large data sets.
• Develop predictive models via machine learning.
• Drive data collection and refinement of existing sources.
• Analyze and interpret results of experiments.

Skills

Statistical methods

Data manipulation

Machine learning

Data visualization

Scripting languages (Python, Java, C/C++)

Education

M.S. or Ph.D. in applied mathematics, statistics, physics, or computer science

Tools

SQL

Relational databases

Job description

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Job Description

The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD.

Responsibilities

Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment.

Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.

Drive the collection of new data and the refinement of existing data sources.

Analyze and interpret the results of product experiments.

Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses.

Requirements

M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role.

Extensive experience solving analytics problems using quantitative approaches.

A proven passion for generating insights from data.

Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics.

Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.

Fluency with at least one scripting language such as Python, Java, or C/C++.

Familiarity with relational databases and SQL.

Additional Information

All your information will be kept confidential according to EEO guidelines.