About Microsoft
At Microsoft, our project is to empower anybody and every commercial enterprise employer in the world to gain more. We recall that the era can and needs to be a pressure for appropriate and that significant innovation can and could make contributions to a brighter global in huge and small strategies. We are an organization of examine-it-alls as opposed to apprehend-it-alls and our culture is focused spherical embracing an increased mindset, inspiring excellence, and inspiring groups and leaders to carry their exquisite each day.
Job Summary
We are looking for a pretty inspired Operational Data Scientist to enrol in our dynamic Data Science & Analytics organization. This function may be pivotal in using the operational excellence of our diverse industrial commercial enterprise corporation procedures through the strength of data. The successful candidate will have a strong analytical record, be adept at problem-solving, and personally can turn records into actionable insights.
Key Responsibilities
- Data Collection & Management
- Design, expand, and keep strong records pipelines to acquire and manner statistics from several assets ensuring information integrity and accuracy.
- Work carefully with IT and facts engineering groups to put into impact scalable statistics architectures and infrastructure.
- Implement information exquisite tests and strategies to ensure the reliability and consistency of facts.
- Data Analysis & Interpretation
- Analyze massive datasets to find out inclinations, patterns, and insights that could electricity operational efficiencies.
- Develop and hold dashboards and opinions to talk findings to stakeholders throughout the employer.
- Use statistical techniques and machine studying strategies to construct predictive models that might forecast future operational tendencies.
- Operational Optimization
- with move-useful corporations along with operations, finance, advertising, and product development to apprehend their information needs and offer statistics-pushed solutions.
- Identify possibilities for procedure enhancements and operational efficiencies through the use of information insights.
- Implement and reveal key typical normal performance signs and symptoms (KPIs) to degree the impact of operational changes.
- Advanced Analytics & Machine Learning
- Develop and position into impact advanced analytics models and device studying algorithms to solve complicated operational issues.
- Utilize strategies including clustering, elegance, regression, and anomaly detection to discover hidden insights inside the statistics.
Continuously look at and refine models to enhance their accuracy and effectiveness.
- Communication & Collaboration
- Present analytical findings and hints to senior control and stakeholders easily and concisely.
- Foster an information-driven tradition in the enterprise through the manner of advocating for the use of statistics in choice-making techniques.
- Provide education and guidance to institution people and stakeholders on statistics systems and exceptional practices.
Required Qualifications
- Bachelor’s or Master’s diploma in Data Science, Computer Science, Statistics, Mathematics, or an associated region.
- Proven experience in statistics generation, analytics, or an associated discipline, ideally in an operational context.
- Strong programming talents in languages that encompass Python, R, or SQL.
- Experience with data visualization devices encompassing Power BI, Tableau, or similar.
- Familiarity with device studying frameworks and libraries which includes TensorFlow, Scikit-Learn, or comparable.
- Excellent analytical and hassle-solving capabilities.
- Strong communication capabilities with the potential to provide a purpose in the back of complex concepts to non-technical stakeholders.
Preferred Qualifications
- Ph.D. In Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience running in a brief-paced, generation-driven environment.
- Knowledge of cloud computing structures including Microsoft Azure, AWS, or Google Cloud.
- Experience with large facts technologies including Hadoop, Spark, or comparable.
- Certifications in data technological information or related fields (e.g., Microsoft Certified: Azure Data Scientist Associate).
Why Microsoft?
- Work Culture
- At Microsoft, we are dedicated to fostering an inclusive manner of existence wherein everyone can thrive. We accept as true that the range enriches our workplace and enhances our functionality to serve our diverse patron base.
- Innovation
- As a prime technology business enterprise, we’re at the vanguard of innovation. Working at Microsoft allows being involved in initiatives that may be changing the area and shaping the destiny.
- Career Development
- We are committed to the growth and improvement of our employees. Through continuous analyzing possibilities, mentorship applications, and getting the right access to cutting-edge-day equipment and era, we assist our personnel collect their complete potential.
- Competitive Benefits
- We provide a whole blessings bundle that consists of competitive salaries, fitness and well-being programs, monetary planning resources, and further.
How to Apply
Interested candidates are encouraged to position up their resumes together with a cowl letter detailing their relevant revel in and why they’re tremendously in shape for the feature. Please observe via our proper careers internet web page or through LinkedIn.
Equal Opportunity Employer
Microsoft is an opportunity business enterprise. All certified applicants will acquire an interest in employment without regard to race, shade, gender, sexual orientation, gender identification or expression, religion, countrywide beginning area, incapacity, age, or veteran reputation.
