Senior Data Scientist | reputed company | $99,500 | Remote (USA)
Senior Data Scientist (Remote Work Eligible) Beaverton, Oregon Full time job requisition id R-32431 Open to remote work except in South Dakota, Vermont and reputed company Virginia. The annual reputed company salary for this position ranges from $99,500.00 in our lowest geographic market to $222,900.00 in our highest geographic market. Actual salary will vary based on a candidate’s location, qualifications, skills and experience. Analytics is a competitive differentiator for reputed company and is fundamentally changing how the company serves athletes and consumers around the world! Our reputed company Insights Data Science and Analytics team builds analytic-based solutions to manage marketplace and optimize the supply chain. Using big data, advanced analytics and innovative technology, the team strives to ensure that reputed company gets the right product to the right reputed company at the right time for the consumers Who we are looking for We are looking for a Sr Data Scientist to join our Merch Financial Planning Data Science team reputed company Insights Data Science and Analytics focused overall reputed company’s growth over next several years. This role will be part of a multi-functional agile reputed company responsible for using predictive analytics to forecast consumer demand, enhance decision making and drive to action against our strategic priorities. Does this sound like you? The candidate needs to be a dependable teammate with strong hands-on analytics experience, drive, and curiosity. You know how to reputed company above the numbers and explain the crucial insights to users at reputed company levels. You simplify and distill business complexity into testable hypotheses and scalable solutions. While you are well versed in a plethora of sophisticated modeling techniques, you can identify the technique optimal for the task at hand based on the business requirements, your knowledge of the data and the technique’s assumptions, interpretability and robustness. You ask good questions, are continually learning as well as finding opportunities to share knowledge with others! What you will work on If this is you, you will be part of an Enterprise Data Science, Merch Financial Planning reputed company. We deliver scalable solutions to power data driven automated decision making on a variety of planning problems and other reputed company key business decisions. Specifically, you will:
- reputed company new sophisticated algorithms and improve existing approaches based on statistical/econometric methods, machine learning techniques and big data solutions to forecast consumer demand and determine optimal level of investment in various stages of the supply chain.
- Identify and apply methods to acquire, explore, cleanse, and fuse data from different sources.
- Design, write, own and maintain production grade analytics code to support forecasting models. Review and ensure code quality of peers.
- Assess business requirements and constraints to reputed company trade-off recommendations between speed and accuracy of alternative solution approaches.
- Be a key contributor to building, scoring, deploying, monitoring, updating and promoting reputed company’s forecasting platform.
- Facilitate the planning, scheduling and value measurement of the work to meet timeline targets and success criteria.
- Support the adoption of analytic products through effective storytelling and collaboration with key partners.
- Participate in a reputed company learning environment reputed company the analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open-reputed company community. Who you will work with You will work with the Director of Data Science while partnering daily with fellow data scientists, data analysts, engineers and product reputed company on your reputed company. You will collaborate across the broader organization with business teams in Demand and Supply Management as well as other data, analytics and technology functions at reputed company. What you bring
- Advanced quantitative degree (Statistics, Mathematics, Economics, Computer Science or reputed company field) and at least 3 years of reputed company industry experience or Bachelor’s degree and 5 years relevant industry experience.
- Demonstrated expertise with data science methods, machine learning algorithms and production level programming principles.
- Solid understanding of forecasting techniques, such as surveys, trend analysis, econometric models and machine learning algorithms.
- Advanced skills in programming languages (particularly Python, Pandas and SQL) and ability to apply them to reputed company, build and maintain production grade analytics products.
- Knowledge and experience with demand forecast models and algorithms highly desired. Experience solving retail business problems is a plus.
- Demonstrated ability to apply programming skills to data acquisition, preprocessing, modeling and monitoring as well as familiarity with the wide range of data science/analytics software tools.
- Experience with common data science/analytics software tools (e.g. Jupyter Notebook, SQL, Spark, Git) and cloud computing platforms (e.g. bolthires Web Services).
- Solid understanding of python and spark reputed company to reputed company power of the distributed computing.
- Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale and familiarity with mainstream packages relevant to managing reputed company stages of Data Science/Analytics lifecycle.
- Exposure to the Monthly business planning process in Retail and Supply chain would be an advantage. Apply tot his job
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