Microsoft Senior Data Science 

India, Telangana, Hyderabad 

722489754

Product Group (OPG)has embarked on a mission to delight our customers by using datainformed engineering to develop compelling products and services. The

track recordand deeply understand potential data sources, conduct theappropriate analysisor modeling to reveal actionable insights, and then work with data or AI engineers to operationalize the metrics or

• Hands on experienceinEOE data science/ML problem solvingexperience.
• 10+ years ofprograming experienceinPython (with ML packages like Pandas, Scikit Learn) & RStat/ML packages.
• 8+ years of experience developing applications in the cloud using technologies such as SQL, Kusto, Databricks, Azure ML, Spark etc.
• Candidatesmust be able to communicate complex ideas and concepts to leadership and deliver results.
• Candidatesmust be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solvechallengingproblems.
• Bachelor'sor higher degrees in Computer Science, Statistics, Mathematics, Engineering, or related disciplines

You will be delivering results through innovation and persistence when similar candidates have given up.

Responsibilities

• data sources,integratemultiplesources,or types of data, anddevelopexpertisewith multiple data sources to tell a story and to compensate for missing data,identifynew patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories.
• Hands on experiencein creating and deployingMachine Learning Methods like Regression, Classification, Clustering, Dimensionality Reduction, Ensemble Methods, Natural Language Processing and Forecasting Methods.
• Creation ofend-to-endfull lifecycle ofpredictive models,starting from analysis problem formulation, data unifications, model training & deployment. Identification of actionable & build alert systemas per need.
• Experiment (Control/Treatment) design & hypothesistesting andensuring the decision criteria for the experiment are correctly reported and interpretedconsideringthe statistical confidence&Significance.Extrapolate the impactto overalluser population.
• Collaborating with cross-functional teams to solve business problems through data-driven insights.
• Transformformulated problems into implementation plans to developforecastmodels to predictfuture trendsandapplyappropriate decision-makingmetrics, backed up with thoroughexplorationdata analysis.
• Need to prepare tailor madedata driven approach/ solutionmethodologiesto address customer/stakeholderproblems.
• Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.

• Participate and take a leading role in planning how we should measure the most pressing threats to the Azure environment and guiding others in the creation and improvement of these metrics.
• Mentors/provide guidance and support to team members,unblockingthemnavigatingthrough complex projects andproviderequired guidance forcareerdevelopment.Contributetoteams’ growth.
• Acquires