CapTechConsulting
Lead Machine Learning / Data Science Engineer
At a Glance
- Location
- Columbus, Ohio, United States
- Employment
- Full-time
- Experience
- 7+ years
- Posted
- 2026-03-17T14:52:13.473Z
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Education
- Engineering
- Finance
- Marketing
Benefits & Perks
ssing generous PTO, health coverage, disability insurance, paid family leav
Requirements
7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
Bachelor's degree or equivalent combination of education and experience.
Experience providing technical leadership and mentoring other engineers in data engineering space
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
Compensation & Benefits
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs.
CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
Responsibilities
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
Deconstructing client needs into data-driven processes/models and analytical measures.
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
About the Company
CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.