Data Science Development Manager

Responsibilities

Purpose

Responsible for managing a team of data scientists, architecting complex enterprise data solutions, and delivering maximum business value through advanced analytics.

This role will oversee the full data science lifecycle-from model ideation and development to deployment and maintenance-leveraging AWS services (particularly Amazon SageMaker) and modern MLOps best practices.

Key Responsibilities


* Manage and mentor data scientists, fostering continuous learning


* Design end-to-end data solutions for complex problems


* Select appropriate modeling approaches to meet business needs


* Oversee full model lifecycle: development, deployment, and maintenance


* Implement MLOps best practices using AWS services (SageMaker, Step Functions, API Gateway)


* Translate data insights into actionable recommendations


* Communicate complex findings clearly to stakeholders


* Collaborate with software teams to integrate solutions


* Document technical designs and maintain model versioning


* Meet deadlines through effective prioritization


* Evaluate costs of new model designs against projected benefits


* Monitor ongoing model-related costs (computing, storage) and implement efficiencies


* Work with cross-functional teams to forecast resource needs within budget constraints


* Conduct exploratory data analyses for projects and ad-hoc requests


* Stay current with emerging technologies and methodologies


* Travel up to 25% as needed

Education, Experience, and Skills Required


* High School Diploma or GED required


* Bachelor's degree required; an advanced degree in Data Science, Computer Science, or a related discipline is strongly preferred


* At least eight years of recent experience in data science, machine learning, or a related field


* Proficiency in Python, R, SQL, and common data science libraries and frameworks


* Strong understanding of statistical analysis, data mining, and data visualization techniques


* Demonstrated ability to translate complex analytical concepts into actionable business outcomes


* Experience building models from scratch and managing the end-to-end model development lifecycle


* Familiarity with MLOps methodologies, including model monitoring, version control, and CI/CD pipelines


* Strong knowledge of AWS cloud services (especially SageMaker) and exposure to Step Functions, API Gateway, ECS, Docker, ECR, or CDK is highly desirable


* Some background in DevOps principles and tools is a plus


* Experience with cloud platforms (specifically AWS) is highly advantageous


* Experience in successfully leading and coaching data science teams or individuals


* Excellent written and verbal communication skills, with the ability to clearly present technical concepts to non-technical stakeholders

Benefits

Altec offers a competitive salary that rewards performance and dedication, along with a ...