Description
Seeking a Data Scientist to drive personalized customer communications and marketing measurement across enterprise channels, including email and push notifications. This role focuses on optimizing who we reach, what we say, and when we say it, while rigorously measuring incremental impact through experimentation and modeling. You will design and scale systems that deliver targeted, relevant messaging and quantify marketing effectiveness using approaches such as incrementality testing and marketing mix modeling (MMM).
Personalized Messaging (Email & Push):
Build and optimize models for:
Audience targeting and segmentation
Message personalization (content, timing, frequency)
Improve customer engagement while avoiding over-saturation
Partner with Marketing to align messaging strategies with business goals
Campaign Optimization:
Develop systems to determine:
Who should receive which message
When and through which channel (email vs. push)
Balance competing objectives (revenue, retention, customer experience)
Measurement & Incrementality:
Design and execute controlled experiments (holdouts, A/B tests)
Measure incremental lift in revenue and conversions
Move beyond vanity metrics (opens, clicks) to causal impact
Marketing Mix Modeling (MMM):
Build and maintain MMM frameworks to:
Quantify channel contribution
Inform budget allocation decisions
Integrate digital messaging insights into broader enterprise marketing strategy
Customer Modeling:
Develop models for:
Customer propensity (purchase, churn, engagement)
Lifetime value (CLV)
Use these insights to drive smarter targeting and spend efficiency
Skills
Python, Machine learning, azure ml, a/b testing, databricks, Sql
Top Skills Details
Python,Machine learning,azure ml,a/b testing,databricks
Additional Skills & Qualifications
What you'll be doing as a 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
Experience Level
Expert Level
Job Type & Location
This is a Contract position based out of Grand Rapids, MI.
Pay and Benefits
The pay range for this position is $70.00 - $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 May 31, 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.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
