We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Act as DS SME and be responsible for setting the various levels of scientific strategies for many of our initiatives. Create prototypes and MVP solutions to leverage Generative and other AI techniques to empower multiple teams and to push the edge of the possible. Identify tools and best practices for key elements of DS lifecycle, both traditional DS and GenAI, possible directions Working cross-org (and cross-functionally) to implement and scale solutions with focus on execution through others. Work with product owners, scientists and engineers of varying levels of expertise, and influence solutions across the Enterprise Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. 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Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders. Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions. Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security. Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting. Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data. Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities. Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration. Strong written and oral communication skills required. 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Provides technical advice to lower level associates and other functional areas. Under minimal direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages (Snowflake SQL, SAS SQL, Python/GIT, PowerBI) to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Acts as a technical leader and mentor to lower level associates. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Works with stakeholders in defining metrics that are impactful to the business. Prioritizes efforts based on customer value. Has a comprehensive understanding of Agile (including JIRA) techniques. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensures data solutions include deliverables required to achieve high quality data. Works with IT to help scale prototypes. Strong written and oral communication skills required. Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred. 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Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. Working with IT, helps to scale prototypes, and assists in building robust data assets, focusing on long-term strategic solutions. Creates effective requirements and documentation for new IT data development and deployment. Ensures IT requirements include criteria required to achieve data of high quality. Effectively and proactively communicates with stakeholders. Prioritizes efforts based on customer value. Can set expectations for deliverables of high complexity. Displays a working understanding of complex multi-tier, multi-platform data environments; can make recommendations for optimal technical solutions and best end-user experience. Understands and applies principles of data governance, compliance, and security. Demonstrates a strong understanding of new technologies as needed to progress initiatives. Acts as a technical leader and mentor to junior associates. 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