Tiger Analytics

Senior Data Scientist - Operation Research

Tiger Analytics • $120K — $150K *
Dallas, TX 75217In-Person
Technical Services
8 - 10 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 10+ years of experience as a Data Scientist focused on supply chain optimization.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related discipline.
  • Proficiency with mathematical programming solvers like Gurobi, Xpress MP, CPLEX, or Google OR Tools.
  • Solid understanding of statistical methods and predictive modeling techniques.
  • Strong skills in Python, Pyspark, SQL, and data analysis libraries.
  • Ability to apply analytical models to real business cases.
  • Exceptional communication and collaboration skills.

Responsibilities

  • Refactor optimization algorithms in Python using Object Oriented Programming.
  • Apply data science techniques to solve retail or CPG supply chain issues.
  • Analyze large datasets to produce actionable insights for pricing optimization.
  • Develop predictive models to enhance inventory management and resource allocation.
  • Collaborate with teams to translate business needs into data-driven solutions.
  • Design experiments to assess the impact of replenishment strategies.
  • Monitor KPIs and provide recommendations for supply chain improvements.
  • Stay updated on trends in data science and supply chain management to drive innovation.

Benefits

  • Significant career development opportunities in a fast-growing environment.
  • High degree of individual responsibility in the role.
Full Job Description
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the 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 Pricing Optimization.
  • 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.

Requirements
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • 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.

Benefits

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.

About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Information Technology
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million
* Ladders Estimates

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