Manager, Data Science (ML Focus) - Remote in the US

Resultant•Indianapolis, IN

4d•Remote

About The Position

Resultant is seeking a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to join their talented team. This role involves developing novel machine learning and AI solutions and deploying them into production applications and systems. The ideal candidate will work on exciting and challenging problems for companies and governments, contributing to the company's core component of data analytics. The role requires a blend of technical expertise, client engagement, and leadership skills.

Requirements

At least 5+ years of related industry experience
Experience working in a consulting firm (professional services or managed services)
Previous experience managing a team of Data Scientists
Bachelor’s degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field
5+ years experience with software engineering in Python
3+ years experience with Databricks and/or Apache Spark
3+ years experience with advanced analytics and modern machine learning techniques
3+ years experience with APIs, containerization (Docker), and orchestration (Airflow)
3+ years experience with relational databases and SQL (Postgres, Redshift, SQL Server)
3+ years experience with Cloud platforms (Azure, AWS, GCP) and services
Proficient with version control
Proficient in software architecture and design patterns
Proficient on Linux for both development and operations
Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders
Strong ability to translate complex technical concepts for non-technical audiences
Demonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teams
Solution creativity and effective written, verbal, and presentation skills
Proven success working across diverse industries and project sizes with a collaborative, outcomes focused mindset
Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems

Nice To Haves

Additional languages like Scala/C++/R are a plus
Experience with deploying applications on Kubernetes
Experience with Palantir Foundry
Experience with Python API development frameworks (FastAPI, Django, Flask)
Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j

Responsibilities

Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way
Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives
Design, develop and deploy efficient data pipeline for both structured and unstructured data
Productionize machine learning research in both on premises and cloud environments
Rapid prototyping solutions and integrating of new data sources
Drive optimization, testing and tooling to improve quality of solutions
Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before
Collaborate with data architects and software developers to plan and construct the architecture of model deployment
Develop and support APIs to serve models and other data solutions
Continuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscape