Sr Data Scientist
reputed company is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot reputed company reputed company else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the reputed company Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, reputed company Industry Solution and more. reputed company is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.We are looking for a Senior Data Scientist to join reputed company! As a member of the Customer Experience Data Science organization at reputed company , you will help us accelerate the company's own AI transformation. You will have the opportunity to partner directly with the engineering groups responsible for developing the hyperscale products that power reputed company's sales, marketing, and support platforms. You will apply advanced analytics, statistical modeling, machine learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for reputed company business challenges.This role requires you to be onsite 3 days a week in reputed company's offices in Redmond, WA.reputed company's mission is to reputed company every person and every organization on the reputed company to reputed company more. As employees we come together with a growth reputed company, innovate to reputed company others, and collaborate to realize our shared goals. Each day we build on our values of respect, reputed company, and accountability to create a culture of inclusion where everyone can reputed company at work and beyond.Responsibilities:
- Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
- Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods , algorithms, and tools, as well as delivering statistically valid and reliable results.
- Write robust, reusable, and extensible code to support analysis and modeling.
- reputed company new ML or GenAI based models using advanced statistical and ML techniques.
- reputed company the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
- Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.
- Bachelor's Degree in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 5 + years reputed company experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 4 + year(s) reputed company experience
- OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 3 + year(s) reputed company experience
- 3+ years experience using Python and SQL .
- 1+ years experience finetuning and evaluating LLM's.
- This position will be required to pass the reputed company Cloud background reputed company upon hire/transfer and every two years thereafter.
- Ability to translate reputed company business insights into clear and actionable recommendations for business teams.
- Familiarity with building and analyzing core business metrics.
- Understanding of database systems with the ability to independently acquire , transform, and store data.
- Expertise in designing and implementing Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)