Data Scientist

Marketing Economics Operations Leadership Purchasing Statistics Databricks SAFe Agile TensorFlow Mathematics Forecasting A/B Testing Supply Chain Data Science Econometrics Azure DevOps Communication Collaboration, NumPy (Python Package) Marketing Mix Modeling Azure Machine Learning Controlled Experiments Artificial Intelligence Pandas (Python Package) Business Transformation Azure Synapse Analytics Marketing Effectiveness R (Programming Language) SQL (Programming Language) Critical Illness Insurance Verbal Communication Skills Python (Programming Language) Scikit-Learn (Python Package) Natural Language Processing (NLP) Customer Communications Management PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Marketing Performance Measurement And Management, 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, 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. Related Jobs Model Based Systems Engineer Actalent Grand Rapids, MIOn-Site TCP/IP Planning Teamwork Visionary Innovation NIST 800-53 Communication Embedded Systems Secret Clearance Computer Hardware Publish Subscribe Systems Engineering Systems Integration Computer Engineering Systems Architecture Software Documentation Artificial Intelligence Technical Documentation Software Technical Review Systems Modeling Language Requirements Traceability C++ (Programming Language) Critical Illness Insurance Git (Version Control System) Python (Programming Language) Model Based Systems Engineering Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Data Scientist TEKsystems Grand Rapids, MIRemote Github PySpark Marketing Economics Operations Leadership Purchasing Statistics Databricks SAFe Agile TensorFlow Mathematics Forecasting A/B Testing Supply Chain Data Science Econometrics Azure DevOps Communication Collaboration

Detail Oriented Microsoft Azure Push Technology Target Audience Action Oriented Customer Service Machine Learning Image Recognition Cloud Technologies Business Valuation Messaging Strategy Customer Engagement NLTK (NLP Analysis) Time Series Modeling Enterprise Marketing Personalized Service Organizational Skills Unsupervised Learning, Python, Machine learning, azure ml, a/b testing, databricks, Sql, * 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

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, NumPy (Python Package) Marketing Mix Modeling Azure Machine Learning Controlled Experiments Artificial Intelligence Pandas (Python Package) Business Transformation Azure Synapse Analytics Marketing Effectiveness R (Programming Language) SQL (Programming Language) Critical Illness Insurance Verbal Communication Skills Python (Programming Language) Scikit-Learn (Python Package) Natural Language Processing (NLP) Customer Communications Management PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Marketing Performance Measurement And Management +0

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., 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.