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Data Scientist 2

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Microsoft

Today

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Hyderabad, +1

AI generated summary

  • You need a Master's or Bachelor's in a related field with extensive data-science and technical experience, skills in AI, machine learning, SQL, and familiarity with Microsoft tech. Strong communication is essential.
  • You will develop ML models, collaborate with teams, create robust software solutions, guide engineering efforts, and ensure adherence to tech standards while embodying company culture and values.

Requirements

  • 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)
  • And 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.
  • Experience with AI product integration and deployment in real-world scenarios.
  • Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel).
  • Prior experience in time series forecasting.
  • Prior experience with typical data management systems and tools such as SQL.
  • Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, Synapse/DataBricks or similar.
  • Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice.
  • Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
  • Knowledge of supply chain models, Demand forecasting etc. will be a big plus.
  • Familiarity with Microsoft technologies and platforms like Azure ML Ops, Azure AI Studio, Copilot Studio etc is a big plus.
  • Strong Communication skills – written, oral as well as presentation skills.
  • Ability to influence without authority.
  • Ability to quickly learn unfamiliar technology areas.
  • Master's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Responsibilities

  • Be a self-starter with a demonstrated track record of providing technology vision and driving them through.
  • Develop Machine Learning models and solutions using classical algorithms as well as foundation models.
  • Work closely with a variety of teams like partner data science, engineering, and UX teams.
  • Collaborate with partner teams (both service and data science) to deliver end-to-end systems and experiences.
  • Design, develop, and deliver high quality software that powers ever increasing demands of availability, reliability, security and performance at large enterprise scale.
  • Convert complex design into solid implementations that scale and perform.
  • Ensure solution delivered adheres to the technological standards established in the organization.
  • Dive into individual problem areas and guide the engineering team by making recommendations and best approaches.
  • Embody our Culture and Values.

FAQs

Do we support remote work?

Yes, we do support remote work, but in a hybrid format.

What qualifications are required for the Data Scientist 2 position?

A Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field with at least 3 years of data science experience, or a Bachelor's Degree in the same fields with at least 5 years of experience.

Is experience with AI product integration important for this role?

Yes, experience with AI product integration and deployment in real-world scenarios is required.

What programming languages should I be familiar with for this role?

Candidates should have technical engineering experience with languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Are deep learning skills necessary for this position?

Yes, experience with deep learning models (e.g., TensorFlow, PyTorch, CNTK) and knowledge of their theory and practice is required.

Is knowledge of supply chain models beneficial for this position?

Yes, knowledge of supply chain models, demand forecasting, etc., will be a big plus.

What tools and technologies should I be familiar with?

Familiarity with typical data management systems and tools such as SQL, as well as large-scale computing tools like Hadoop, Spark, and Azure technologies like Azure ML Ops is preferred.

Are strong communication skills important for this role?

Yes, strong communication skills—both written and oral—as well as presentation skills are crucial, along with the ability to influence without authority.

What security requirements must be met for this role?

Candidates must be able to meet Microsoft, customer, and/or government security screening requirements, which include passing the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Will I be needed to collaborate with other teams?

Yes, collaboration with various teams, including partner data science, engineering, and UX teams, is a critical part of this role.

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Microsoft

Technology
Industry
10,001+
Employees
1975
Founded Year

Mission & Purpose

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.