Machine Learning / Data Science Engineer

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. They are seeking a Machine Learning / Data Science Engineer responsible for designing and implementing data-driven solutions, focusing on scalable machine learning systems in enterprise environments. The role involves strategizing with clients, developing analytical solutions, and growing CapTech’s Machine Learning and Data Science practices.

What you'll do:

• 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)
• Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements
• Growing CapTech’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

What they're looking for:

• 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, NoSQL, 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 (i.e., personalization, natural language processing, computer vision)
• Knowledge of DevOps and automation best practices
• Knowledge of statistics and statistical modeling methods
• Knowledge of model management and model versioning best practices

Benefits:

• Generous PTO
• Health coverage
• Disability insurance
• Paid family leave
• Flexible work environment and helping our employees achieve a work-life balance that suits their individual 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
• Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations