Sr. Data Scientist

STEMtech; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

STEMtech has a client in Atlanta seeking a Sr. Data Scientist to build and manage a team, define data science standards, and drive business value through advanced analytics. The role involves applying statistical analysis tools and developing algorithms to enhance operational performance.

The ideal candidate should have over 12 years of IT experience, including 5 years in data science, and a Master’s degree in a related field. Proficiency in SQL and programming languages is essential.

Qualifications

• 12+ years of experience in IT or a business function, 5+ years in data science.
• Experience leading a team with hiring, coaching, and development responsibilities.
• Proficiency in large data sets aggregation and statistical analysis.

Responsibilities

• Build and manage a team of Data Scientists.
• Define data science standards and drive business value.
• Design and implement complex models and algorithms.

Skills

Statistical analysis tools

SQL Server

R

Python

Data modeling

Leadership

Education

Master's degree in information technology, computer science, data science, or related quantitative discipline

Tools

PostgreSQL

MySQL

Job description

STEMtech has a client in the Atlanta area looking for an Sr. Data Scientist who will have the opportunity to build and manage a team of Data Scientists who will have an instrumental role in achieving the organizations goals. His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply data science techniques. In addition, he/she will be responsible for applying advanced statistical analysis tools and techniques to explain operating behaviors, understand complex relationships between known and unknown drivers of performance, and build algorithms using advanced descriptive and prescriptive methods. Lastly, he/she will also inform on needed tools and capabilities to industrialize insights into day-to-day ways of working that drive real tangible operational enhancements.

Job Description

• Collaborates with translators and understands business problems to implement scalable and sustainable solutions
• Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions
• Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization
• Translate or interpret findings for non-analytical or statistically adept colleagues
• Write reports articulating the analytics insights and their business impacts
• Conduct and led meetings and workshops to explain findings
• Supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
• Manage and direct data science team to accomplish technical goals and develop data insights
• Provides guidance and supervision to Data Scientists on data science best practices and Novelis data science standards

Qualifications

• 12+ years of experience in IT or a business function, 5 or more of which is specific to data science
• Master’s degree or other advanced degree in information technology, computer science, data science, or related quantitative discipline (e.g. advanced statistical analysis)
• Experience leading a team of data scientists with responsibility for hiring, coaching, and developing direct staff
• Experience with object oriented design, coding and testing, engineering software platforms
• Proficiency in aggregation of large data sets, statistical analysis tools
• Expert knowledge of data modeling and understanding of different data structures
• Understanding of advanced applied mathematics in AA, artificial intelligence and array operations
• Comfort in using SQL Server, PostgreSQL/ MySQL, and R
• Knowledge of programming languages (R, PHP, Python)
• Able to build a sense of trust and rapport that creates a comfortable & effective workplace
• Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred

Additional Information

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