Data Scientist

Lensa; Houston (TX); On-site; USD 90,000 - 122,000; Full time

Job summary

A leading company in Houston seeks a Data Scientist to apply advanced analytics in support of demand generation and supply chain models. The ideal candidate will possess a strong educational background in mathematics or statistics and experience in data manipulation using SQL and Python. Responsibilities include working cross-functionally to enhance analytical models and ensuring effective communication of results across teams for impactful decision-making.

Qualifications

• Educational background in analytics with significant exposure to SQL and Python.
• 2+ years of experience in applying statistical methods and machine learning.
• Familiarity with data visualization and model implementation.

Responsibilities

• Acquire and consolidate large volumes of data from various sources.
• Develop dashboards to monitor the implementation and impact of models.
• Collaborate with business teams to enhance model value.

Skills

Data manipulation

SQL

Python

Bayesian statistics

Regression analysis

Machine learning

Education

Master’s degree or PhD in mathematics, statistics or computer science

Tools

NoSQL databases

Job description

1 day ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, Sysco, is seeking professionals in Houston, TX. Apply via Lensa today!

Job Summary

This role will apply advanced analytics to support the evaluation and development of new demand generation, assortment, costing, pricing and supply chain models. This will require expert ability in data acquisition (internal and external to Sysco), cleansing and manipulation; mathematical modeling; analytical and heuristic solution methods; and the ability to synthesize, visualize and communicate the result. This role will require close collaboration with other functions within the Enterprise Analytics and insights Team in addition to other functions within Sysco.

Responsibilities

• Identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different internal and external sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data
• Identify and use appropriate advanced analytic tools, technologies and platforms to execute analysis against business requirements, including the ability to scale, deploy and distribute models across the enterprise as needed.
• Develop performance scorecards and dashboards to monitor the adoption, implementation, and impact of models and strategies.
• Work cross-functionally with other roles within the Enterprise Analytics Team and the Sysco broadly to tune models and ensure value created from models.
• Work with Business Technology resources on API, front end, and down stream integration.
• Collaborate with business process owners to validate model outputs and construct an appropriate training
  
  

Qualifications

Education and / or Experience:

• Master’s degree or PhD or Bachelor’s degree + 3 years of industry experience in management consulting, strategy, analytics, at a specialized analytics company or in an analytics organization in a corporate setting.
• Degree should be in mathematics, statistics or computer science or related field; preferred from a top tier University.
• 1-4 years of overall analytics experience, can be inclusive of post-graduate work
• 2+ years of experience accessing and manipulating data in SQL or NoSQL database environments
• 1+ years of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java)
• 2+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required
  
  

Professional Skills

• Experience accessing and manipulating data in SQL or NoSQL database environments
• Experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java)
• Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required
  
  

Affirmative Action Statement

Applicants must be currently authorized to work in the United States. We are proud to be an Equal Opportunity and Affirmative Action employer, and consider qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law. This opportunity is available through Sysco Corporation, its subsidiaries and affiliates.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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