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Resultant

Manager, Data Science (ML Focus)

Resultant
🇺🇸In-Person - Indianapolis, IN$150K–$200K/yri2h ago
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Role Snapshot

Senior Data Scientist/Machine Learning Engineer role focused on developing and deploying novel ML and AI solutions for clients across various industries. Position involves translating business problems into technical requirements and delivering production-ready data science solutions.

Key Responsibilities: Engage with clients to understand needs and communicate findings, design and deploy data pipelines for structured/unstructured data, productionize ML models in on-premises and cloud environments, and collaborate with architects and developers on model deployment architecture. Additional duties include rapid prototyping, optimization, developing model-serving APIs, and staying current with evolving AI technologies.
Skills & Tools: Expert-level machine learning and advanced analytics algorithm development, data pipeline design, model productionization in cloud and on-premises environments, and API development. Strong communication and stakeholder management skills with ability to translate business requirements into technical solutions.
Qualifications: Advanced degree (Master's or PhD) in data science, computer science, mathematics, or related field, or equivalent professional experience with demonstrated expertise in machine learning, deep learning, and production ML systems. Minimum 5+ years of relevant data science or machine learning engineering experience required.
Location: In-Person - Indianapolis, IN
Compensation: $150K–$200K/yr (estimated)

Job Description

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:   

  • 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