Senior Data Scientist; ML Focus - Remote US Seagoville, TX

Senior Data Scientist (ML Focus) - Remote in the US Company Description

We are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers.

The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration—of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners.

Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you’ll help your clients, colleagues, and communities thrive.

Resultant was founded as KSM Consulting in 2008.

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 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

* This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience.*

Required

• 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+ 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

Preferred

• Experience with deploying applications on Kubernetes
• Experience with Palantir Foundry
• Experience with Python API development frameworks (FastAPI, Django, Flask)
• Experience with No
  
  SQL and streaming platforms, e.g., Kafka, Mongo
  
  DB, Neo4j

• Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders
• Strong ability to translate complex…