Machine Learning​/Data Science Engineer

Company Description

Cap Tech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At Cap Tech, 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.

Cap Tech 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. Cap Tech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other Cap Tech analysts, architects, and our clients.

• 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
• 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).
• Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
• Product ionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements.
• Growing Cap Tech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

• Bachelor's degree or equivalent combination of education and experience.
• 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, No
  
  SQL, and/or cloud data processing frameworks in a production setting.
• Proficiency with containerization (e.g., Docker) and microservices.
• Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS.
• Comfort and proficiency in framing data‑driven problems from cross‑industry business requirements.
• Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels).
• Hands‑on experience implementing production‑scale machine learning systems in one or more domains (e.g., personalization, natural language processing, computer vision).
• Knowledge of Dev Ops and automation best practices.
• Knowledge of statistics and statistical modeling methods.
• Knowledge of model management and model versioning best practices.

We want everyone at Cap Tech 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.

• 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,…