Senior Data Scientist - Replenishment Optimization
Company: Knewin
Location: Los Angeles
Posted on: May 3, 2024
Job Description:
Tiger Analytics is pioneering what AI and analytics can do to
solve some of the toughest problems faced by organizations
globally. We develop bespoke solutions powered by data and
technology for several Fortune 100 companies. We have offices in
multiple cities across the US, UK, India, and Singapore, and a
substantial remote global workforce. We are also market leaders in
AI and analytics consulting in the CPG & retail industry with over
40% of our revenues coming from the sector. This is our
fastest-growing sector, and we are beefing up our talent in the
space. We are looking for a Sr Data Scientist with a good blend of
data analytics background, practical experience in optimizing
replenishment strategies and allocating resources within supply
chains, and strong coding capabilities to add to our team. Key
Responsibilities:
- Responsible for refactoring the Distribution Optimization
algorithm written in Python using Object Oriented Programming
- Work on the latest applications of data science to solve
business problems in the Supply chain and optimization space of
Retail and/or CPG.
- Utilize advanced statistical techniques and data science
algorithms to analyze large datasets and derive actionable insights
related to replenishment optimization and inventory
allocation.
- Develop and implement predictive models and optimization
algorithms to improve inventory management, reduce stockouts, and
optimize resource allocation across the supply chain.
- Collaborate with cross-functional teams to understand business
requirements and translate them into data-driven solutions.
- Design and execute experiments to evaluate the effectiveness of
different replenishment strategies and allocation policies.
- Monitor and analyze key performance indicators (KPIs) related
to replenishment and supply chain allocation, and provide
recommendations for continuous improvement.
- Stay abreast of industry trends and best practices in data
science, replenishment optimization, and supply chain management,
and leverage this knowledge to drive innovation within the
organization.
- Collaborate, coach, and learn with a growing team of
experienced Data Scientists.
- Proven experience 6+ years working as a Data Scientist, with a
focus on replenishment optimization and inventory allocation.
- Bachelor's or Master's degree in Computer Science, Statistics,
Operations Research, or a related field.
- Solid understanding of statistical methods, optimization
techniques, and predictive modelling concepts.
- Strong proficiency in programming languages such as Python,
Pyspark and SQL, and experience working with data analysis and
machine learning libraries.
- Ability to apply various analytical models to business use
cases
- Exceptional communication and collaboration skills to
understand business partner needs and deliver solutions and explain
to business stakeholders. This position offers an excellent
opportunity for significant career development in a fast-growing
and challenging entrepreneurial environment with a high degree of
individual responsibility.
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Keywords: Knewin, Lynwood , Senior Data Scientist - Replenishment Optimization, Other , Los Angeles, California
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