Job description

Responsibilities - Leveraging advanced analytics techniques and tools such as Azure Machine Learning, Azure Open AI, Azure AI Search, Azure Synapse Analytics, Databricks, and Power BI - Extract insights from large datasets and develop data-driven solutions. - Lead end-to-end data science projects, collaborate with cross-functional teams, and stay updated with emerging Microsoft technologies. - Strong problem-solving, programming, and communication skills. - Building predictive models and other analytical solutions. - Apply statistical and machine learning methods to analyze large, complex data sets. - Collaborate with various parties to brainstorm creative uses for data. - Develop complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. - Perform analyses of structured and unstructured data to solve multiple and complex business problems. - Deliver actionable guidance and recommendations to stakeholders to help understand nuances of the models built and tactics for improving. - Act as the subject matter expert on solutions produced by working closely with your peers to help Clients better understand their data. - Actively participate in the execution and planning of data capture strategies to improve data automation, data quality, and analytics capabilities. - Run ad-hoc data extracts for requests from diverse partners and automate those needs over time. - Perform highly complex, technical, and creative predictive analytics projects. - Manage and prioritize multiple moderate-to-highly complex projects including gathering business requirements, developing project goals and requirements, coordinating project timelines, and communicating project status and deliverables with Clients. - Stay abreast of architectural/industry changes in related fields. - Continuously improve Team processes to ensure information is of the highest quality, contributing to the overall effectiveness of the Team. - Ensure best practices are followed and business objectives are achieved by focusing on process improvements. - Meet with Clients to determine needs and/or identify problem areas. - May be responsible for the development of Statement of Work and Proposals which outline professional services required to meet Client requirements. - Must be open to ~10% travel on an as needed basis. Qualifications - 7+ years of hands-on experience with data science, AI, and big data. Experience with data engineering is a plus. - Degree in Information Technology or Business Administration or equivalent combination of education and experience - Experience developing and owning production-level models using various data sets. - Experience shipping models to production, and ensuring continuous availability via measurements, and tools like statistical process control. - Ability to translate business needs into technical requirements through active partnerships, collaborating with partners, data scientists and data architects. - Compelling storytelling through analytics and visualization, getting your point across, and keeping your audience engaged. - Experience working in Python, R, Scala, Spark, and/or T-SQL. - Extensive experience connecting to Data Platforms including data lakes, data warehouses, NoSQL databases, and APIs. - Ability to set up data and experimental platforms. - Strong critical thinking, active listening, and communication skills to infer business needs, grasp the underlying context, and translate loose direction on analytical projects into concrete solutions. - Attention to detail and desire for end-to-end ownership of deliverables. - Experience working on projects involving large volumes of data, preferably in the Manufacturing industry. - Demonstrates the ability to communicate effectively with technical teams, business stakeholders, and other relevant parties

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