Data Scientist - Portfolio Company

Boston Consulting Group
US - Texas - Dallas
January 30, 2025

*This is a permanent, full-time position with our end-client. This is not an employment opportunity with BCG or BCG X*

*This is an on-site/hybrid position which will require living near or relocating to Dallas, TX*

*This client is unable to provide sponsorship and cannot consider candidates that cannot work indefinitely without sponsorship (e.g., student visa, STEM, OPT, etc.).*

Data Scientist - Forecasting

Dallas, TX

On-site/Hybrid

Overview

BCG and BCG X has been partnering with a high-growth American international restaurant chain to help build out and stand up innovative data science capabilities that are having a meaningful impact on the business. With executive involvement and investment, this is an incredible opportunity to join a high-growth, high-visibility team to grow your career as a Data Scientist.

Your Impact

This role contributes to the company's success by collaborating with multiple departments to support data driven business decisions through building models that optimize, predict, and generates insight.
The team's goal is to translate business questions into usable decision support products, visualizations & self-service tools that democratizes data across the entire enterprise.

What You'll Do

As a full-stack data scientist, you'll work on impactful initiatives across areas like Finance, Operations, and Marketing, turning business questions into actionable data solutions. Your key responsibilities include:

Collaboration and Communication

Partner with stakeholders to understand their objectives and translate them into data-driven solutions.
Collaborate with fellow data scientists, analysts, and cross-functional teams to support key data initiatives.

Model Development and Deployment

Build, optimize, and deploy machine learning models in production environments.
Work with multidisciplinary teams to design scalable and reliable ML solutions.
Develop monitoring tools to ensure model performance, data integrity, and successful execution in production.
Implement contingency plans for potential model failures.

Scalability and Efficiency

Contribute to improving the scalability and reliability of production-deployed solutions.
Automate data pipelines and machine learning workflows using efficient and reusable code.

What You Bring

You're a data science professional with strong technical expertise, experience deploying/managing time-series models in an enterprise, and a passion for solving real-world problems. You thrive in a dynamic environment and are eager to learn, grow, and make a meaningful impact.

Key Skills & Qualifications

Proficiency in Python, SQL, R, and machine learning algorithms.
Experience with MPP databases like Snowflake (e.g., Snowpark) and data modeling techniques.
Hands-on experience building and tuning time-series forecasting algorithms (e.g., ARIMA, Prophet, XGBoost).
Experience in natural language processing (NLP) is a plus.
Familiarity with tools such as Power BI, Tableau, and SAP BW.
Knowledge of Agile methodologies like Scrum, SAFe, or Kanban is ideal.
Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Math, Computer Science, or Engineering).
Certification in data science or analytics is a plus (e.g., SnowPro Advanced Data Scientist).
Minimum 3 years of practical experience applying data science techniques to solve business challenges.

Industry Experience

Experience in restaurant, retail, or hospitality sectors is a plus but not required.

Who You Are

Curious and Analytical: You're naturally curious and love digging into data to uncover actionable insights.
Collaborative: You thrive in team settings and enjoy working across functions to solve problems.
Service-Oriented: You approach challenges with energy and proactive solutions, always keeping stakeholders in mind.
Entrepreneurial: You're driven, adaptable, and ready to take ownership of multiple projects from start to finish.
Growth-Minded: You seek opportunities to expand your personal and professional development.

Read the full job description and apply online on the recuiter's web-site

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