Junior Data Scientist (Microsoft Teams) – Entry Level, Full Benefits

🏢 Microsoft📍 Atlanta, GA, United States💼 Full-Time💻 Hybrid🏭 Software Development💰 70000-95000 per year

About the Company

Microsoft is a global leader in software, services, devices, and solutions, dedicated to empowering every person and every organization on the planet to achieve more. With a strong presence in Atlanta, we foster a culture of innovation, collaboration, and continuous learning. Join a team that values diversity and is at the forefront of technological advancements, making a real impact on how the world connects, works, and plays.

Job Description

Are you passionate about data and eager to kick-start your career in data science? Microsoft is looking for an enthusiastic and analytical Junior Data Scientist to join our dynamic team, focusing specifically on insights derived from Microsoft Teams usage and performance. This entry-level position offers a unique opportunity to apply foundational data science principles to real-world product challenges, contribute to the improvement of one of our most critical communication platforms, and grow within a world-class organization. You will work closely with product managers, engineers, and senior data scientists to transform complex data into actionable insights that drive strategic decisions and enhance user experience. Full benefits are included, reflecting our commitment to our employees’ well-being and professional growth.

Key Responsibilities

  • Collect, clean, and preprocess large datasets related to Microsoft Teams usage, features, and user behavior.
  • Develop and implement statistical models and machine learning algorithms to identify trends, patterns, and anomalies.
  • Generate clear and concise reports, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders.
  • Collaborate with product teams to define key performance indicators (KPIs) and build data pipelines to monitor them.
  • Support A/B testing initiatives and analyze results to inform product development and optimization.
  • Assist in the maintenance and improvement of existing data models and analytical tools.
  • Stay current with data science methodologies, tools, and best practices, continuously seeking opportunities for professional development.

Required Skills

  • Proficiency in Python or R for data analysis and modeling.
  • Strong SQL skills for data extraction and manipulation.
  • Foundational understanding of statistical concepts and machine learning algorithms.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn).
  • Excellent problem-solving abilities and a keen attention to detail.
  • Strong communication skills, both written and verbal, for presenting technical findings.
  • Familiarity with Microsoft Teams as a user.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Experience with cloud platforms such as Azure (e.g., Azure Data Factory, Azure Synapse Analytics).
  • Familiarity with big data technologies (e.g., Spark, Hadoop).
  • Understanding of experimental design and A/B testing.
  • Prior internship or project experience in a data-related role.

Perks & Benefits

  • Comprehensive medical, dental, and vision insurance plans.
  • 401(k) matching and employee stock purchase program.
  • Generous paid time off, including vacation, sick leave, and holidays.
  • Flexible work arrangements with a hybrid work model.
  • Access to a wide range of learning and development resources.
  • On-site fitness centers and wellness programs.
  • Employee discounts on Microsoft products and services.
  • Paid parental leave and adoption assistance.
  • Relocation assistance (if applicable).

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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