Description: The client is an American multinational association that is involved in the design, development, manufacturing, worldwide marketing, and sales of apparel, footwear, accessories, equipment, and services. The company is a proven leader in its industry and is constantly working to create innovative products and services.The project revolver around ML models creation for Timeseries Forecasting of future sales of the company. #LI-OC2Requirements: 6+ years of relevant professional experience.Ability to write robust, maintainable, and extendable code in Python.Expertise in applied data science methods and machine learning algorithms. ML solutions for Timeseries ForecastingData wrangling expertise with structured and unstructured data.Strong background in mathematics, statistics, or computer science.Good understanding of principles of solution architecture and technical design.Snowflake for data mining and analysisLGBM (LightGBM) for gradient boosting model experimentsPandas for data preprocessing and manipulationExperience with cloud architecture and technologies (preferably AWS SageMaker, Kubernetes, and Docker) and MLOps conceptsAgile methodology for project management and collaborationEffective communication skills (with team members, the business, and in code). Responsibilities: As a member of Nike’s data science team, you will play a crucial role in leveraging data to drive insights and optimize business strategies. You will work in a dynamic and multicultural environment, employing cutting-edge technologies to develop and deploy advanced machine learning models. Your primary responsibilities will include data mining with Snowflake, creating experiments with gradient boosting models like LGBM, and optimizing model performance using AWS SageMaker. Collaboration within an Agile framework will be essential as you contribute to enhancing the company’s competitive edge in the retail market. Conduct data mining and analysis using Snowflake to extract actionable insights from large datasets.Design, develop, and experiment with gradient boosting models such as LGBM to address various business challenges and opportunities.Implement and optimize machine learning pipelines using Pandas for data preprocessing and manipulation.Utilize AWS SageMaker to build, train, and deploy machine learning models at scale, ensuring efficient and reliable performance.Work collaboratively within an Agile team environment, participating in sprint planning, daily stand-ups, and retrospectives.Collaborate with stakeholders across different departments to understand business requirements and translate them into technical solutions.Continuously monitor and evaluate model performance, applying techniques for optimization and fine-tuning to enhance accuracy and efficiency.Stay up-to-date with the latest advancements in machine learning, data science, and retail industry trends, contributing to ongoing innovation and improvement initiatives. What We Offer Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.About GlobalLogic GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world.By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses.Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries.GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.

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