Data Scientist

Overview

On Site
USD 50.00 - 90.00 per hour
Full Time

Skills

Modeling
Writing
Scratch
Customer Experience
Prototyping
Statistical Models
Product Development
Algorithms
Merchandising
Marketing
Design Patterns
Innovation
Research
Accountability
Functional Requirements
Scalability
Usability
Business Process
Business Cases
Training
SQL Azure
Tk
DevOps
Machine Learning Operations (ML Ops)
GitHub
Management
Unsupervised Learning
Forecasting
Time Series
Attention To Detail
Organized
Organizational Skills
Communication
Intellectual Property
Regulatory Compliance
Mergers and Acquisitions
Computer Science
Mathematics
Statistics
Economics
SAFE
Agile
Data Science
Retail
Logistics
Supply Chain Management
FOCUS
Natural Language Processing
Artificial Intelligence
Python
Databricks
Machine Learning (ML)
ADS
SAS
R
SQL
PySpark
NumPy
Pandas
scikit-learn
TensorFlow
PyTorch
NLTK
Microsoft Azure
Cloud Computing
Taxes
Life Insurance
Marketing Intelligence
MI
Collaboration
Partnership
Business Transformation
Law

Job Details

Top Skill Sets for Senior Data Scientist:
1. Experience:
- 6 years overall experience with SQL, Python, Databricks, and handling large data sets.
2. Skills:
- Understand models and convert outputs into predictions.
- Campaign experience - Setting up offers and coupons and strong retail fundamentals.
3. Modeling Experience:
- End-to-end modeling, hands-on.
- 3-4 years writing algorithms for consumer-facing marketing and loyalty.
- Deployment and ML Ops experience.
Top Skill Sets for Principal Data Scientist
1. Lead:
- 3+ data scientist.
- Validate code and act as a thought leader for strategy while engaging with business stakeholders.
2. Technical Responsibilities:
- Ability to build custom algorithms from scratch (not just packages)
- 8+ years of Python, Databricks, Azure ML, SQL while handing large data sets
- Forecasting libraries and algorithm development for customer and coupon relevance.
- Execute personalization strategies
Description
Job duties for Senior Data Scientist: Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance.
- Partner with product development to define requirements which meet system and customer experience needs for data science projects
- Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables
- Build prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs
- Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology
- Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution.
- Responsible to define, document and follow best practices and approve for ML/AI development at Meijer
- Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products
- Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products
- Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy
- Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact. - This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required.
Job duties for Principal Data Scientist: Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance.
- Partner with product development to define requirements which meet system and customer experience needs for data science projects.
- Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables.
- Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
- Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology
- You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations.
- Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow.
- Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across data science, AI and retail.
- Mentors data science teams and promotes a culture of curiosity, accountability, & enthusiasm
- Provides data science strategy to ensure code modernization and industry standard patterns for data science.
- Provides guidance to development teams within domain (Commerce, Services or Mobile).
- Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science.
- Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers.
- Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution
- Responsible to define, document & follow best practices & approve for ML/AI development at Meijer
- Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products.
- Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products.
- Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy.
Skills
Python, Machine learning, Sql, Azure ML, ML/AI, Azure Cognitive Service, Ads Data Hub, BIQuery, pyspark, Numpy, Scikit Learn, tensorflow, pytorch, AutoTS, Prophet, NL TK, sas, Data science, Artificial intelligence
Top Skills Details
Python,Machine learning,Sql,Azure ML,ML/AI,Azure Cognitive Service,Ads Data Hub,BIQuery,pyspark,Numpy,Scikit Learn,tensorflow,pytorch,AutoTS,Prophet,NL TK,sas,Data science,Artificial intelligence
Additional Skills & Qualifications
What you'll be doing as a Senior Data Scientist:
Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field
Certifications: Azure Data Science Associate, Azure AI, Safe Agile
6+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG. Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK
Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub
- Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models
Proactive and action oriented
Ability to collaborate with, and present to internal and external partners
Able to learn company systems, processes and tools, and identify opportunities to improve
Detail oriented and organized
Ability to meet production deadlines
Strong communications, interpersonal and organizational skills
Excellent written and verbal communication skills
Understanding of intellectual property rights, compliance and enforcement
What you'll be doing as a Principal Data Scientist:
- Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field
- Certifications: Azure Data Science Associate, Azure AI, Safe Agile
- 8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI
- Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK
- Experience with Azure Cloud technologies
Experience Level
Mid
Job Type & Location
This is a Contract position based out of Grand Rapids, MI.
Pay and Benefits
The pay range for this position is $50.00 - $90.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Grand Rapids,MI.
Application Deadline
This position is anticipated to close on Jan 16, 2026.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About TEKsystems c/o Allegis Group