Principal Data Scientist at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Acquisition, Data Cleaning, Data Analysis, Model Evaluation, Statistical Techniques, Debugging Techniques, Customer Focus, Ethics, Privacy, Thought Leadership, Operational Models, Project Delivery, Consulting, Research, Data Management, Best Practices

Industry

Software Development

Description

- You will oversee data acquisition and ensure data is properly formatted and described. You'll also coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation. - You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You'll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. - You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You'll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. - You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You'll also commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities. - You will embody our culture and values. Required/Minimum Qualifications (RQs/MQs) - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ 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 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. - 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Additional or Preferred Qualifications (PQs) - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results - OR equivalent experience. - Enjoy travel and are comfortable with travel up to 25% Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world! Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done. We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

Responsibilities

You will oversee data acquisition and ensure data is properly formatted and described while coaching engineers in data cleaning and analysis best practices. Additionally, you will evaluate your team's models, recommend improvements, and drive best practices for models.