Manager, Data Science (ML Focus) - Remote in the US jobs in United States
cer-icon
Apply on Employer Site
company-logo

Resultant · 1 day ago

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

Resultant is a team of engineers, mathematicians, and data analysts dedicated to solving complex challenges for clients. They are seeking a Senior Data Scientist / Machine Learning Engineer to develop and deploy machine learning solutions, working closely with clients and internal teams to create impactful data-driven strategies.

Management Consulting
check
H1B Sponsor Likelynote

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

Qualification

Machine LearningPythonData Pipeline DevelopmentAPIsCloud PlatformsDatabricksApache SparkAdvanced AnalyticsContainerizationSQLVersion ControlSoftware ArchitectureLinuxClient EngagementBusiness DevelopmentSolution CreativityTeam ManagementCommunication Skills

Required

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

Preferred

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

Benefits

Unlimited vacation
Significant 401k contributions
Several opportunities to develop yourself

Company

Resultant

twittertwittertwitter
company-logo
Resultant is a passionate team of engineers, mathematicians, data analysts, project managers, and business consultants.

H1B Sponsorship

Resultant has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (8)
2023 (9)
2022 (10)

Funding

Current Stage
Growth Stage

Leadership Team

leader-logo
Julie Lewis
Chief Financial Officer at Resultant
linkedin
leader-logo
Kate Gerber
Vice President, Talent
linkedin

Recent News

Avoiding AI failure: How to drive real business value with AI | CIO
Why CIOs must adopt an HR mindset for the age of agentic AI | CIO
Company data provided by crunchbase