- Job Role: Senior Data Scientist
- Salary: Not Disclosed
- Location: Bengaluru, Karnataka
- Company: Microsoft
- Qualifications: bachelor’s Degree
- Experience: 7+ years
ABOUT MICROSOFT
Microsoft is a worldwide leader in technology, dedicated to empowering people and agencies through revolutionary software programs pagination offerings, and solutions. Founded in 1975 by way of Bill Gates and Paul Allen, the company is superbly recognized for its flagship merchandise, together with the Windows operating tool, Office productivity suite, and Azure cloud platform. Microsoft has improved its portfolio to encompass hardware, which encompasses the Surface devices and Xbox gaming consoles, in addition to AI, cybersecurity, and enterprise software program software solutions
.With a sturdy willpower to sustainability and social responsibility, Microsoft strives to create a more inclusive digital international. Headquartered in Redmond, Washington, the employer operates in over one hundred ninety worldwide places and has over 180,000 personnel globally. Microsoft continues to guide improvements in cloud computing, synthetic intelligence, and brilliant rising technology, shaping the destiny of the tech agency.
Job Description:
A Senior Data Scientist leverages advanced analytical techniques to extract insights from complicated datasets, riding data-driven decision-making throughout the employer. Responsibilities consist of developing predictive fashions, appearing statistical analysis, and developing records pipelines. The function calls for knowledge in machine mastering, programming (Python, R), and statistics visualization tools. Collaboration with cross-purposeful teams is prime to expertise enterprise desires and offering actionable solutions. Strong enjoy in records wrangling, version deployment, and turning in insights to non-technical stakeholders is critical. A Senior Data Scientist additionally mentors junior group members and guarantees high-quality practices in information technological know-how methodologies.
Requirements and Skills for Senior Data Scientist:
Education and Experience
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related area. A Ph.D. Is frequently preferred, in particular in specialized domain names like deep getting to know or AI.
- Five+ years of enjoy in statistics technological know-how or analytics roles, with a validated music document of solving complicated commercial enterprise problems via information-driven insights.
- Strong revel in building and deploying machine mastering fashions in real-global eventualities, inclusive of supervised and unsupervised strategies.
- Expertise in information wrangling and pre-processing to prepare raw statistics for analysis, which includes coping with lacking values, outliers, and scaling functions.
Technical Skills
- Proficiency in programming languages together with Python and R for data analysis and modeling, with robust familiarity with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Extensive experience with SQL for querying and manipulating structured records, in addition to familiarity with NoSQL databases which includes MongoDB or Cassandra for handling unstructured information.
- Solid expertise in device getting-to-know algorithms (e.g., regression, category, clustering, recommendation systems), deep knowledge of techniques, and herbal language processing (NLP).
- Expertise in statistics visualization tools (e.g., Tableau, Power BI, matplotlib, or Seaborn) to create compelling and understandable visual reports and dashboards.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, or Azure) and equipment like Docker or Kubernetes for scalable model deployment and automation.
- Experience with huge statistics technology like Hadoop, Spark, or Apache Kafka is a plus for handling big, dispensed datasets.
Analytical & Problem-Solving Skills
- Strong statistical evaluation capabilities, with the capacity to apply complicated statistical fashions and techniques to large datasets.
- Ability to translate complex statistics insights into actionable business suggestions and successfully speak findings to each technical and non-technical stakeholder
- A deep expertise of business methods and capability papaintith cross-practical groups to outline targets and discover information-driven opportunities.
Soft Skills
- Strong communication and collaboration skills, with revel in mentoring junior statistics scientists and working in an agile, group-oriented environment.
- Attention to detail and potential to remedy ambiguous troubles with minimum supervision.
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