Manager Data Science ML Focus Remote in the US

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 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.Typical DayEngaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable wayPartnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiativesDesign, develop and deploy efficient data pipeline for both structured and unstructured dataProductionize machine learning research in both on premises and cloud environmentsRapid prototyping solutions and integrating of new data sourcesDrive optimization, testing and tooling to improve quality of solutionsDevelop and apply machine learning and advanced analytics algorithms to solve problems you have never seen beforeCollaborate with data architects and software developers to plan and construct the architecture of model deploymentDevelop and support APIs to serve models and other data solutionsContinuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscapeQualifications This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience.RequiredExperience 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 is required5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus)3+ years experience with Databricks and/or Apache Spark3+ years experience with advanced analytics and modern machine learning techniques3+ 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 servicesProficient with version controlProficient in software architecture and design patternsProficient on Linux for both development and operationsPreferredExperience with deploying applications on KubernetesExperience with Palantir FoundryExperience with Python API development frameworks (FastAPI, Django, Flask)Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4jConsulting, Communication and Leadership SkillsExperience working in a consulting or client-facing environment, collaborating directly with business stakeholdersStrong ability to translate complex technical concepts for non-technical audiencesDemonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teamsSolution creativity and effective written, verbal, and presentation skillsProven success working across diverse industries and project sizes with a collaborative, outcomes focused mindsetEntrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problemsAll qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status.Equal Opportunity Employer#J-18808-Ljbffr