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Contractual Computer Science Statistics Jobs in California

... Computer Science, Statistics, Mathematics, Engineering, Economics or related field Minimum Qualifications 5+ years of professional experience in data science, machine learning, or digital product ...

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

MS/PhD in computer science, statistics, or operations research or related technical discipline * Deep knowledge of machine learning, statistics, optimization or related field * Proficient in SQL, R ...

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics who are passionate about building scalable, intelligent systems - and who actively ...

PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines * 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data ...

Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 4 years experience extracting insights from large datasets, specifically employing ...

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain; (will consider MS with significant related experience) 3+ years experience ...

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Contractual Computer Science Statistics information

Is it hard to get a job with a data science and statistics degree?

Contractual computer science statistics roles often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical tools. While competition can be high, relevant experience, certifications, and a solid understanding of data analysis increase job prospects in this field.

Which CS job has the highest salary?

In the field of computer science, roles such as machine learning engineer, data scientist, and software architect tend to have the highest salaries. These positions often require advanced skills in programming, data analysis, and system design, and they are typically found in industries like technology, finance, and consulting.

What is the difference between Contractual Computer Science Statistics vs Data Analyst?

AspectContractual Computer Science StatisticsData Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; certifications like SAS, R, or PythonBachelor's in Statistics, Data Science, or related fields; certifications like Excel, SQL, or Tableau
Work EnvironmentProject-based, often contract roles in tech, finance, or research sectorsOffice or remote, analyzing data to inform business decisions across industries
Employer & Industry UsageTech companies, research institutions, consulting firmsBusiness, 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?

For a Contractual Computer Science Statistics role, combining statistics and computer science is highly valuable, as it enables data analysis, machine learning, and algorithm development. Skills in programming languages like Python or R and understanding of data structures are essential in this field. This combination enhances problem-solving capabilities and job prospects in data-driven environments.

What is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and advanced knowledge of statistical methods and machine learning.
What are popular job titles related to Contractual Computer Science Statistics jobs in California? For Contractual Computer Science Statistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Contractual Computer Science Statistics jobs in California look for? The top searched job categories for Contractual Computer Science Statistics jobs in California are:
What cities in California are hiring for Contractual Computer Science Statistics jobs? Cities in California with the most Contractual Computer Science Statistics job openings:
Staff Data Scientist - ML, Gen AI & Agentic AI

Staff Data Scientist - ML, Gen AI & Agentic AI

Niagara Bottling

Diamond Bar, CA • On-site

Full-time

Re-posted 19 days ago


Niagara Bottling rating

7.9

Company rating: 7.9 out of 10

Based on 111 frontline employees who took The Breakroom Quiz

90th of 397 rated food and drinks producers


Job description

Job Summary:
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


Niagara Bottling logo

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