200+ applicants

Company

Provation · 17 hours ago

Data Scientist

Minneapolis, MN

Full-time

Remote

Senior Level

5+ years exp

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Health CareMedical

No H1B

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Responsibilities

Drive execution and play a vital role in building a culture of innovation at Provation.

Assist with growing organization-wide data science capabilities.

Collaborate with cross-functional stakeholders and customers to understand their business needs, formulate and complete end-to-end review that include: data gathering, review, scaled deliverables, recommendations and presentations to stakeholders.

Contribute to a wide variety of technical projects using natural language processing, statistical analysis, machine-learning, and other forms of analytical modeling.

Effectively manage stakeholder expectations, ensuring alignment with project objectives.

Coordinate project timelines, milestones, and deliverables to ensure efficient progress and successful outcomes.

Translate data science model impacts, insights, and methodologies into accessible language for non-technical team members.

Assist in building and maintaining a data governance framework

Foster a culture of understanding and appreciation for data-driven decision-making across the organization.

Other duties and projects as assigned.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data SciencePythonRSQLMachine LearningStatistical ModelingNatural Language ProcessingDeep LearningBig Data TechnologiesData VisualizationHadoopSparkAzureAWSGCPStakeholder ManagementProject Coordination

Required

Hold a bachelor’s degree (or its equivalent) in computer-science/information-theory/language-technologies or a related field is required, and a Master or PhD is preferred.

5+ years of related experience.

Preferred

Proven track record of success in applying data science techniques to real-world business problems.

Expertise in programming languages such as Python, R, or SQL, and familiarity with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn).

Strong knowledge of machine learning algorithms, deep learning techniques, and statistical modeling.

Experience with big data technologies and platforms (e.g., Hadoop, Spark) and cloud computing services (e.g., Azure, AWS, GCP).

Excellent analytical and problem-solving skills, with the ability to think critically and creatively to solve complex problems.

Effective communication and collaboration skills, with the ability to present technical concepts to non-technical stakeholders.

Proven leadership experience, with the ability to lead and mentor a team of data scientists.

Demonstrated experience in stakeholder management, project coordination, and communication within a data science or related technical environment.

Proficiency in conveying complex technical concepts to diverse audiences.

Strong organizational skills and attention to detail.

Ability to thrive in a dynamic, collaborative team environment.