Principal Data Science Manager

1 Month ago • 10-17 Years • Data Analyst

Job Summary

Job Description

This role requires a Principal Data Science Manager to lead a team in solving complex problems and discovering new opportunities using data. Responsibilities include collaborating with engineering, product, and design teams to understand business questions, set KPIs, analyze data to identify insights, design experiments, measure growth, and identify future opportunities. The ideal candidate will have extensive experience in data science, managing teams, and communicating findings effectively. They will work with big data technologies, conduct EDA, inference analysis, predictive modeling, and experiment design. The role involves mentoring junior data scientists and analysts, fostering a positive team culture, and working across different time zones.
Must have:
  • Doctorate or Master's in relevant field & significant experience
  • 5+ years team lead experience, mentoring junior scientists
  • 10+ years practicing data scientist experience
  • Expertise in EDA, inference, predictive analysis & forecasting
  • Experience with experiment design and analysis
  • Proficiency in programming languages (C#, Python, Java)
  • Excellent communication & storytelling skills
Good to have:
  • Experience with Big Data technologies (Spark, Hadoop)
  • Experience with SCOPE/COSMOS or U-SQL/ADL

Job Details

Overview

Are you an experienced Principal Data Science Manager, with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you!


We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows!

We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices.

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualifications

  • Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts.
  • 10+ years of experience as a practicing Data Scientist.
  • Exceptional teamwork and values that foster a positive team culture.
  • Experience in collaborating with teams across different time zones and geographies.
  • Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.
  • Experience with Experiment Design and analysis.
  • Experience in one or more programming languages, preferably C#, Python or Java.
  • Experience in mentoring less experienced data engineers and helping to set a positive team culture.
  • Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills.
  • Excellent oral and written communication skills and ability to "tell compelling stories" through data.

 

Preferred Qualifications

  • Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL.
  • A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress.

 

#W+Djobs

 

#Windows, #Windows India, #Data Science

 

Responsibilities

As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs.


Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics.

We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved.

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