Overview
Machine Learning / Data Science Engineer at CapTech. CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through technology. We focus on delivering value through strong relationships and results for Fortune 100 companies, mid-sized enterprises, and government agencies.
Job Description
CapTech Machine Learning Engineers design and implement data-driven solutions for our clients, with a focus on building and deploying scalable machine learning systems in enterprise environments. We foster a collaborative environment where CapTech analysts, architects, and client teams learn from each other.
Responsibilities
- Strategize with clients, data scientists, engineers, and cross-functional teams to implement end-to-end machine learning solutions and identify new approaches to meet business needs
- Deconstruct client needs into data-driven processes / models and analytical measures
- Analyze and transform large datasets hosted on enterprise platforms (e.g., AWS, Azure, GCP)
- Design, develop, and deploy advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring)
- Productionize ML systems with a focus on optimization and scalability to satisfy client requirements
- Grow CapTech’s ML and Data Science practices through client presentations, proposal writing, business development events, and leading teams of junior data scientists and engineers
Qualifications
Bachelor’s degree or equivalent combination of education and experienceHands-on experience manipulating and analyzing large datasets (multi-billion records)Hands-on experience developing data-driven solutions using Python, Scala, or similar languagesProficiency with SQL, Spark, NoSQL, and / or cloud data processing frameworks in productionProficiency with containerization (e.g., Docker) and microservicesProficiency with data warehousing tools / environments such as Snowflake, Databricks, Azure SQL, Amazon RDSAbility to frame data-driven problems from cross-industry business requirementsExperience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels) and implementing production-scale ML systemsKnowledge of DevOps, automation, statistics, and model management / versioning best practicesAdditional Information
We offer customizable career progression and a comprehensive benefits package. Benefits include traditional options (generous PTO, health coverage, disability insurance, paid family leave) and extended benefits. Programs include :
Learning & Development : certification and tuition support, digital on-demand learning, mentorship, skill development pathsModern Health : mental health and well-being platform with 1 : 1 care and group supportCarrot Fertility : inclusive fertility and family-forming coverageFringe : stipend program for personalized lifestyle benefitsEmployee Resource Groups : diversity and inclusion initiativesPhilanthropic Partnerships : pro-bono projects with communities401(k) Matching : generous matchingCapTech is an equal opportunity employer committed to equality, inclusion and fairness. Reasonable accommodations are provided for applicants with disabilities. For visa sponsorship, CapTech cannot sponsor; applicants must be authorized to work in the United States without visa sponsorship.
CapTech supports equal pay for all. In Colorado, we comply with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is : $95,000 - $160,000.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Consulting
Industries
Business Consulting and Services
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