Top 10 Data Science Jobs in Microsoft You Should Look into different websites like LinkedIn, Naukri.
Data science jobs are among the top 15 digital occupations in need until 2023, according to the Information and Communications Technology Council (ICTC). Over the same period, the ICTC predicts that demand for digitally competent workers will reach more than 305,000. Recently several companies are hiring people for data science jobs. For a mid-level position, Microsoft likes to employ experienced applicants with at least 2 years of experience working in data science. Data science jobs in Microsoft are very much demanding. Here we will mention some top data science jobs in Microsoft.
1. Senior Data and Applied Scientists:
Location: Hyderabad, Telangana, India
Roles and Responsibilities:
- Have the capacity to mine huge data sets using technologies like Cosmos, Hadoop, or Spark
- Transform data into novel features/signals that can help a machine learning job perform better.
- Create machine learning models and test their accuracy in real-world settings.
- Graph learning, NLP, and machine learning methods are used to prototype novel ideas and build new algorithms.
- To offer a strong solution to the client, collaborate with other data scientists, engineers, and UX specialists.
- Have the capacity to learn new approaches from textbooks and research articles on your own.
Qualifications: A bachelor's or master's degree in computer science, engineering, applied mathematics, statistics, or a related subject is required. A doctorate is preferred.
2. Senior Data and Applied Scientists:
Location: Bengaluru, Karnataka, India
Roles and Responsibilities:
- Will create, develop, evaluate, and adjust sophisticated algorithms and machine learning systems, as well as the infrastructure required to operate on big datasets.
- Will work with top machine learning scientists and engineers to have a direct effect on the business.
Qualifications: With 3 or more years of experience, an MS/BS in CS/EE, mathematics, or machine learning-related fields is required.
Location: Bengaluru, Karnataka, India
Roles and Responsibilities:
- You'll work with massive amounts of data to solve/enable real-world machine learning issues that are then productized into our ML Ops platform and consumed by downstream apps OR turned into product features or standalone solutions.
- You'll work with international teams and have the chance to make a huge difference.
- To offer state-of-the-art ML solutions for issue solving throughout the organization, you will combine data science depth, programming skill, and mathematical grasp of methods.
- You'll show that you have a product mentality by delivering reusable components that can be used as or integrated into ML services/productized solutions.
- A master's degree in computer science, mathematics, statistics, physics, or a closely related subject is required.
- It is preferable to concentrate on machine learning.
- D. is preferred.
4. Principal Data & Applied Scientist Manager:
Location: Hyderabad, Telangana, India
Roles and Responsibilities:
- Obsession with customer service
- Design, build, test, and deploy scalable and always-available services for Bing that offer enjoyable and well-crafted user experiences.
- To accomplish the aforementioned, collaborate with several teams from various disciplines.
- Examine the risks and sacrifices associated with various design options.
- Resolve issues with mission-critical services and use automation to prevent a recurrence.
- Identify and correct or push the correction of a systemic issue.
Qualification: A bachelor's or master's degree in computer science, or comparable experience is required.
5. Senior Data Scientist:
Location: Hyderabad, Telangana, India
Roles and Responsibilities:
- Ability to design and develop an efficient data pipeline capable of training, testing, and deploying high-quality models into production for large-scale deployment.
- Collaborate with teams to discover and investigate opportunities for machine learning and predictive analysis.
- As a team player, communicate with both technical and non-technical audiences and provide modeling knowledge.
Qualification: A master's degree in statistics, math, computer science, or a related subject is required.
6. Data and Applied Scientist:
Roles and Responsibilities:
- Assist world-class research teams in furthering state-of-the-art in voice enhancement.
- Incorporate cutting-edge algorithms and deep learning models into the product by working directly with a competent engineering team.
Qualification: A Ph.D. in Computer Science or a related subject, or equal alternative education and abilities are required.
Roles and Responsibilities:
- To find security flaws, monitor and analyze huge data on protection.
- Create features that allow customers to interpret their security information.
- Develop a comprehensive grasp of our products, features, customers, data infrastructure, and business objectives.
- To drive product activities, you must first understand business performance and then answer questions.
- Create end-to-end rule-based, automated, statistical, or machine learning pipelines for transforming raw data into consumer protection value.
- Creating and deploying metrics and dashboards that correctly assess the value of changes
- Analyze problem sets, provide solutions, and review experiments and data to provide technical leadership to our team.
Qualification: 3 years of relevant experience in advanced analytics, software engineering, or Data Science Jobs in the industry
Roles and Responsibilities:
- Work with a variety of stakeholder groups to translate business issues into data science and data engineering needs.
- Using the Microsoft Azure Stack, you can create shared data pipelines, data sets, and reports.
- Manage data infrastructure and data pipelines on a day-to-day basis.
- Develop a large data model based on user behavior and telemetry from product usage.
- Use a number of tools and strategies to analyze complicated data from a variety of sources.
- Insights into acquisition, engagement, and retention initiatives should be actionable.
Qualification: A bachelor's degree in software engineering, computer science, or information systems is necessary.
9. Data & Applied Scientist – Studios Quality – Xbox:
Location: England, United Kingdom
Roles and Responsibilities:
- Contribute to the team's data strategy evolution by utilizing statistical and data science capabilities to strengthen our engineering and analytics foundation.
- Instill this mentality into our overarching quality plan by educating technical and non-technical team members on statistics and data science skills, techniques, and practical applications.
- Actively interact with the wider Microsoft and external data science communities to investigate current methodologies and solutions that we can use or modify to meet our goals, as well as remain up to date on new concepts, technologies, and accomplishments.
- Propose and develop innovative statistical approaches for extracting useful information from large amounts of data.
- Create and use machine learning models for classification, clustering, forecasting, extraction, and factor analysis.
Qualification: A master's or bachelor's degree in computer science, applied mathematics, statistics, data science, or a related subject is required.
10. Data and Applied Scientist:
Location: London, England, United Kingdom
Roles and Responsibilities:
- Assist in the creation of analytic memoranda.
- Execute such memos by performing a thorough analysis.
- Examine datasets, perform quality evaluations of those datasets and their parts, and clean data or offer data completion suggestions.
- Examine the work thoroughly and make any necessary changes to the processes.
- Present facts in a way that is easy to understand and consume (i.e., tables, graphics, visualizations).
- Have a statistical understanding and the capacity to suggest and perform appropriate statistical tests, as well as to textually describe those tests.
Qualification: A master's degree in data science or a closely connected subject is required.
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