CapTech
Machine Learning / Data Science Engineer
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Responsibilities
Strategizing with clients, data scientists, engineers, and other 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 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 business development events, and leading teams of junior data scientists and engineers
Qualifications
Bachelor's degree or equivalent combination of education and experience
Hands-on experience manipulating and analyzing large data sets
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages
Proficiency with SQL, Spark, NoSQL, and/or cloud data processing frameworks in production
Proficiency with containerization (e.g., Docker) and microservices
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
Ability to frame data-driven problems from cross-industry business requirements
Experience applying analytical methods across multiple business domains and deploying production-scale ML systems
Knowledge of DevOps and automation best practices
Knowledge of statistics and statistical modeling methods
Knowledge of model management and model versioning best practices
Additional Information CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness. We strive to create a diverse environment where each employee is encouraged to bring their ideas, backgrounds and experiences to the workplace. CapTech cannot transfer or sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Benefits
Learning & Development – Certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
Modern Health – Mental health and well-being platform with 1:1 care, group support sessions, and self-serve resources
Carrot Fertility – Inclusive fertility and family-forming coverage for all paths to parenthood
Fringe – Company-paid stipend program for personalized lifestyle benefits
Employee Resource Groups – Employee-led committees that embrace diversity and inclusion
Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects
401(k) Matching – Generous matching with no vesting period
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, please contact us. This position does not offer visa sponsorship.
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Responsibilities
Strategizing with clients, data scientists, engineers, and other 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 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 business development events, and leading teams of junior data scientists and engineers
Qualifications
Bachelor's degree or equivalent combination of education and experience
Hands-on experience manipulating and analyzing large data sets
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages
Proficiency with SQL, Spark, NoSQL, and/or cloud data processing frameworks in production
Proficiency with containerization (e.g., Docker) and microservices
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
Ability to frame data-driven problems from cross-industry business requirements
Experience applying analytical methods across multiple business domains and deploying production-scale ML systems
Knowledge of DevOps and automation best practices
Knowledge of statistics and statistical modeling methods
Knowledge of model management and model versioning best practices
Additional Information CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness. We strive to create a diverse environment where each employee is encouraged to bring their ideas, backgrounds and experiences to the workplace. CapTech cannot transfer or sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Benefits
Learning & Development – Certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
Modern Health – Mental health and well-being platform with 1:1 care, group support sessions, and self-serve resources
Carrot Fertility – Inclusive fertility and family-forming coverage for all paths to parenthood
Fringe – Company-paid stipend program for personalized lifestyle benefits
Employee Resource Groups – Employee-led committees that embrace diversity and inclusion
Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects
401(k) Matching – Generous matching with no vesting period
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, please contact us. This position does not offer visa sponsorship.
#J-18808-Ljbffr