Description
We are looking for a Senior Data Scientist to join our Advanced Analytics team within Commercial Analytics. This role will be part of a multi-functional agile squad responsible for using predictive analytics to forecast consumer demand, enhance decision making and drive to action against our strategic priorities. Does this sound like you?
The candidate needs to be a dependable teammate with strong hands-on analytics experience, drive, and curiosity. You know how to rise above the numbers and explain the crucial insights to users at all levels. You simplify and distill business complexity into testable hypotheses and scalable solutions. While you are well versed in a plethora of advanced modeling techniques, you are able to identify the technique optimal for the task at hand based on the business requirements, your knowledge of the data and the technique’s assumptions, interpretability and robustness. You ask good questions, are continually learning as well as finding opportunities to share knowledge with others!
Key Skills
Other Skills
Additional Tech Stack
Other Experience
MMM- Nice to have
What goes into MMM (inputs, outputs)
Struggles of MMM data (offline media, agency data, etc)
Data Engineering
Archiving and Data automation
Data Pipelining/staging
Data troubleshooting
Data Analytics
Visualization and dashboarding
Pulling and cleansing data from multiple sources
Soft Skills
Goal/deadline oriented
Team player - win and lose as a team
Self sufficient and quick study - able to be put to a task and complete it with little to no supervision
Curious minded and eager to solve and optimize problems
asking the right questions
fix broken data feeds
troubleshoot unexpected errors in data
optimize code to reduce storage and computational costs
Additional Skills & Qualifications
Develop new sophisticated algorithms and improve existing approaches based on statistical/econometric methods, machine learning techniques and big data solutions to forecast consumer demand and determine optimal level of investment in various stages of the supply chain.
Assess business requirements and constraints to make trade-off recommendations between speed and accuracy of alternative solution approaches.
Identify and apply appropriate methods to acquire, explore, cleanse, and fuse data from different sources.
Be a key contributor to building, scoring, deploying, monitoring, updating and promoting the forecasting platform.
Facilitate the planning, scheduling and value measurement of the work to meet timeline targets and success criteria.
Support the adoption of analytic products through effective storytelling and collaboration with key partners.
Experience Level
Expert Level
Pay And Benefits
The pay range for this position is $50.00 - $70.00/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
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on May 16, 2025.
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.