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Contractual Computer Science Statistics information
Is it hard to get a job with a data science and statistics degree?
Which CS job has the highest salary?
What is the difference between Contractual Computer Science Statistics vs Data Analyst?
| Aspect | Contractual Computer Science Statistics | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in Computer Science, Statistics, or related fields; certifications like SAS, R, or Python | Bachelor's in Statistics, Data Science, or related fields; certifications like Excel, SQL, or Tableau |
| Work Environment | Project-based, often contract roles in tech, finance, or research sectors | Office or remote, analyzing data to inform business decisions across industries |
| Employer & Industry Usage | Tech companies, research institutions, consulting firms | Business, healthcare, marketing, finance |
Contractual Computer Science Statistics professionals focus on applying statistical methods within computer science projects, often on a contractual basis, while Data Analysts interpret data to support business strategies. Both roles require similar technical skills but differ in scope and industry application.
Is statistics and computer science a good combination?
What is the highest paying job with a statistics degree?
Full-time
Re-posted 19 days ago
Niagara Bottling rating
7.9
Based on 111 frontline employees who took The Breakroom Quiz
90th of 397 rated food and drinks producers
Job description
Niagara Bottling is looking for a Staff Data Scientist who will serve as a technical lead across Machine Learning, Generative AI, and Agentic AI initiatives. The role involves designing, developing, and scaling advanced models and systems that power analytics across various business functions, emphasizing feature engineering and clear business communication.
Responsibilities:
• Design, build, and scale ML models for demand forecasting, growth analytics, price/pack elasticity, segmentation, trade promotion analysis, and supply-chain optimization.
• Develop end-to-end ML pipelines with strong feature engineering, validation, deployment, and model monitoring/observability.
• Deliver interpretable, production-ready models embedded into analytics products and decision experiences.
• Build RAG-powered GenAI solutions with retrieval design, prompting strategies, grounding, and evaluation frameworks.
• Develop tool-using and orchestrated agentic workflows to accelerate analytics and automate decision support.
• Partner with APM&I/product management and business leaders to translate prioritized use cases into measurable outcomes; DS owns the analytic/agent approach and validates performance; APM&I owns value framing and business sign-off.
• Communicate complex ML/GenAI concepts clearly to technical and business stakeholders, including model behavior, risks, and trade-offs.
• Implement Responsible AI practices covering safety, bias mitigation, privacy, evaluation, and telemetry.
• Provide technical leadership and mentorship without direct reports, guiding best practices, reviewing code/approaches, and elevating team capability.
• Contribute to enterprise AI governance, including model/agent documentation, risk assessments, access control, versioning, testing standards, and audit readiness.
• Foster cross‑functional collaboration, identifying opportunities to leverage GenAI across manufacturing, supply chain, commercial operations, HR, legal, and corporate functions.
• Analytics Product Expertise Strong knowledge of agile analytics product delivery, full-stack development (Data Engineering, Data Science, UX/UI), and industry best practices.
• Product & Project Management Skilled in developing Product Briefs, managing roadmaps, backlog prioritization, release planning, sprint metrics, and cross-team coordination while ensuring business value-driven outcomes.
• Business & Process Understanding deep comprehension of business processes, functional digital capabilities (Supply Chain, Manufacturing, Finance, Sales & Marketing), and high-quality analytics delivery.
• Change & People Management skilled in managing change initiatives, fostering collaboration, and balancing competing priorities in a fast-paced environment.
Qualifications:
Required:
• 8+ years in Data Science/ML.
• Experience in CPG/retail growth, demand forecasting, pricing, and promotional analytics.
• Proficiency in Python, SQL, Snowflake, Azure ML/Databricks.
• Practical experience with ML techniques and emerging GenAI/LLM workflows.
• Strong communication and stakeholder alignment skills.
• Bachelor's Degree in Computer Science/Data Science/Statistics or other related field.
Preferred:
• 10–12+ years analytics experience.
• Experience with agent frameworks, vector databases, hybrid search.
• Experience operationalizing ML/LLM systems with CI/CD and observability.
• Familiarity with Power BI and analytics experience design.
• Master’s Degree in Computer Science/Data Science/Statistics or other related field.
• Agentic AI / Gen AI / Machine Learning or Advanced Analytics certifications.
Company:
Niagara Bottling provides bottled water and bottled sports drinks. Founded in 1963, the company is headquartered in Philadelphia, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
What Niagara Bottling employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Niagara Bottling
Sourced by ZipRecruiter
Niagara Bottling, LLC has been family owned and operated since 1963. Niagara is a leading bottled water manufacturer in the U.S., supplying major retailers across the nation. Nielsen +/biNyDGcAS61OV0GIrHcWTOCFo= Nielsen is a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You'll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! NielsenIQ /xHzLYOL7B5gJKeErHR5OpVt2Os= NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world's population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what's possible. How? We combine unparalleled datasets, pioneering technology, and the industry's top talent to create insights that unlock innovation. Join us and change the landscape. Nike weB0VQ7iUwaCHWNipwHEhUU5oFo= Our purpose is to unite the world through sport to create a healthy planet, active communities, and an equal playing field for all. In order to stay at the top of our game, we're always looking to level-up with outstanding people who provide the kind of above-and-beyond service that inspires Nike fans for life! NOCD qMdV2+zQfKcKckWjOX3hDGP8fkM= NOCD is the #1 telehealth provider for the treatment of obsessive-compulsive disorder (OCD). OCD is one of the most severe, prevalent, and misunderstood mental health conditions. NOCD creates access to online therapy for people with OCD through our telehealth platform. In the NOCD app, members can quickly access and schedule live, face-to-face video therapy sessions with our national network of licensed therapists that specialize in Exposure and Response Prevention Therapy (ERP) - considered the gold standard" in OCD treatment. At NOCD, we help people reclaim their lives with clinically proven OCD treatment, by removing barriers to OCD care, and reducing the stigma associated with OCD. We're changing the world and need other like-minded individuals to accelerate and expand our efforts.
Industry
Food and beverage stores
Company size
5,001 - 10,000 Employees
Headquarters location
Diamond Bar, CA, US
Year founded
1963