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    Senior Data Scientist Microsoft - London, United Kingdom - Hollywood IT Society

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    Description

    Overview

    Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?

    The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use.

    We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers from your team and our customers' teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers' toughest challenges.

    We are hiring a Senior Data Scientist with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.

    Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world
    Qualifications

    Required Qualifications:

    Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

    OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

    OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

    OR equivalent experience.

    Preferred Qualifications;

    Experience working as part of geographically dispersed, diverse, and virtual teams
    Enjoy travel and are comfortable with travel up to 25%
    Demonstrated ability to work with customers and collaborate across company boundaries
    Expertise in deep learning and generative AI models with hands-on experience applying them in real-world scenarios

    Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world

    At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.

    We invest in your health,wellness,and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

    Responsibilities

    Business Understanding and Impact

    Leads data-driven projects with business acumen and data science expertise.

    Data Preparation and Understanding

    Manages data collection and preparation for projects.

    Modeling and Statistical Analysis

    Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks. Writes scripts in various languages and understands Microsoft AI and ML tools. Designs experiments and operationalizes models at scale. Coaches junior engineers on best practices.

    Evaluation

    Understands relationship between selected models and business objectives. Ensures clear linkage between selected models and desired business objectives. Defines and designs feedback and evaluation methods. Coaches and mentors less experienced engineers as needed. Presents results and findings to senior customer stakeholders.

    Industry and Research Knowledge/Opportunity Identification

    Provides feedback, coaching, and support to engineering team and other teams based on business knowledge, technical expertise, and industry trends.

    Coding and Debugging

    Demonstrates excellent coding and debugging skills across multiple features/solutions.

    Business Management

    Drives business value by collaborating with stakeholders and improving solutions.

    Customer/Partner Orientation

    Delivers customer-oriented solutions and builds trust with Microsoft products.

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