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

Resultant•Indianapolis, IN

4h•Remote

About The Position

At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help. Data analytics is a core component of how we do this. We are looking for a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today’s fast-paced environment. As a Senior DS/MLE, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems. Here is what a typical day for you might look like:

Requirements

This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience.
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 is required
5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus)
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+ experience with relational databases and SQL (Postgres, Redshift, SQL Server)
3+ 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

Nice To Haves

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
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

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