Jobs via Dice ยท 9 hours ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft is seeking a Senior Data Scientist to join the Engineering Systems 365 team. The role focuses on applying advanced analytics and machine learning to solve complex business problems and drive impactful insights for the organization.
Computer Software
Responsibilities
Engage with stakeholders to understand and address their business problems with data-driven solutions. Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business
Serve as a subject matter expert on advanced analytics, partnering with other teams to apply and leverage this skillset to guide data-driven decision making while mentoring product managers, researchers, and engineers in data best practices
Work with coworkers, partners and customers to define data needs, research questions, analysis plans, and deliverable timelines
Translate complex technical findings into succinct, actionable business insights, often in coordination with partners who help you tell a holistic story
Occasionally support high priority ad hoc requests from company and Engineering leadership
Passion for innovation and discovering new insights into engineering analytics by leveraging advanced machine learning techniques and AI as well as continued learning in these disciplines
Qualification
Required
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
Preferred
Solid understanding of the Software Development Lifecycle and familiarity with common software engineering tools (Git, Azure DevOps/GitHub, etc)
2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
3+ years of experience working with data analysis languages and tools such as Python, R, Kusto, etc
Demonstrated ability to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data via predictive analytics, statistical modeling, data mining, AI, or machine learning algorithms
Have a track record of innovative thinking and problem-solving skills by developing data pipelines and leveraging large data sets
Be self-driven and show the ability to deliver on ambiguous projects with incomplete data while collaborating on a multi-disciplinary team
Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modeling, data mining, AI, A/B experiments, or machine learning algorithms, especially at scale
Demonstrated communication skills and ability to collaborate in a multi-disciplinary team
Company
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Funding
Current Stage
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