Resultant
Tech / AI / Software
Manager,DataScience(MLFocus)
“Manager, Data Science (ML Focus) at Resultant. Skills: Machine Learning, Data Science, Software Engineering, Cloud Platforms, API Development, Data Pipelines. 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”
What You'll Achieve.
produce a positive outcome; empowering our clients to drive meaningful change; help your clients, colleagues, and communities thrive; delivering our clients with the best solutions; delivering transformative outcomes; rewarding performance that delivers positive outcomes for our clients; incentives are aligned to achieve our goals
Industry & Context.
courageous problem solvers; solve some of the most exciting and challenging problems; solve problems you have never seen before; fearless problem solvers; helping our clients solve their toughest problems
What They're Looking For.
Must Have
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+ 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 Have
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, additional languages like Scala/C++/R are a plus
What You'll Do.
Engaging directly with current and prospective clients to understand business needs
translate them into technical requirements
and communicate findings in a clear
Partnering with internal and client stakeholders to shape solutions
and contribute to go-to-market initiatives
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
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
How You'll Work.
Team & Collaboration
Partnering with internal and client stakeholders; Collaborate with data architects and software developers; team players; helping everyone around us be successful; collaborative, outcomes focused mindset
Communication Scope
communicate findings in a clear, actionable way; ability to translate complex technical concepts for non-technical audiences; effective written, verbal, and presentation skills
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