6,060 Predictive Analytics jobs in the United States
Principal Predictive Analytics Engineer
Posted today
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Job Description
Butterball, LLC, one of Americas most iconic brands, helps consumers celebrate Thanksgiving and every day in between. Located in the thriving Raleigh-Durham, North Carolina area, our goal is to provide a diverse array of career opportunities and paths which include our farms, processing facilities and support offices.
We are the largest producer of turkey products in the U.S., and we make a lot more than Thanksgiving turkeys. Our companys measurable growth is in no small part due to our team members in North Carolina, Arkansas, Illinois, and Missouri, who each have a seat at the table to contribute to our success
Job Summary
This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production.
Key Responsibilities
1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML.
2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models.
3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities.
4. Collaborates to define requirements and translate them into technical solutions.
5. Documents methodologies, findings, and recommendations for technical and non-technical audiences.
6. Gathers data from internal and external sources to store in the business data lake.
7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines.
8. Operationalizes predictive models and integrates them into the company's operational systems.
9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions.
10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining.
11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient.
12. Ensures the integrity and quality of the data that feeds into the predictive models.
13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms.
14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data.
15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management.
16. Works cross-functionally and across all Butterball IT areas.
Minimum Qualifications (Educations & Experience)
1. Bachelors degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent
2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role
Knowledge, Skills, and Abilities
Butterball Core Competencies
Caring about people, valuing contributions, and empowering to succeed is the Butterball Way. We recognize the value that different perspectives and cultures bring to Butterball and seek to create an environment where everyone can thrive. Everyone has a seat at the table and is expected to embody our core competencies:
Safety First: We put safety first. The health, safety, and well-being of our people, products, and turkeys is everyone's responsibility and everyone's jobs.
Integrity: We trust each other to do the right thing. We act with integrity and gain the confidence and trust of others through honesty, respect, and authenticity.
Stewardship: We take care of what matters. We are accountable to our commitments and take responsibility for the well-being of our teams, our quality, our customers, our business, our brand, and our communities. We are always answerable for our actions and those we lead.
Enthusiastic Attitudes: We create a climate where everyone feels they belong and can be engaged, every day. Where our people are enthusiastic and motivated to do their best and work together to make great things happen.
Continuous Improvement: We are committed to continuous improvement. We challenge ourselves and our company to constantly learn, develop, grow, improve, and innovate.
Essential Knowledge, Skills, and Abilities
Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools
Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas
Strong foundation in statistics, optimization, and data modeling
Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau)
Experience with cloud platforms (Azure, AWS, GCP)
Excellent communication and client/partner engagement skills
Ability to manage multiple projects and prioritize effectively
Familiarity with Agile or Scrum methodologies
Preferred Knowledge, Skills, and Abilities
Masters degree in data science, Business Analytics, Computer Science, Statistics, or related field
Experience with LLMs, reinforcement learning, or enterprise AI applications
Experience with SAP, Azure Data Factory, or enterprise data platforms
Physical Demands
While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, keyboard, and occasionally lift up to 15 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus.
Working Conditions & Travel Requirements
Work is performed in a climate-controlled office environment with the option to work remotely periodically. For remote work, the employee must have a dedicated workspace to safely setup and use assigned IT equipment, preferably free from distractions. The employee is responsible for ensuring adequate internet service is available when working remotely (the recommended minimum speed is 20mb download and 5mb upload).
The noise level of the environment is usually moderate.
Minimal regional travel may be required.
Disclaimer
The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of what is required of personnel so classified. Furthermore, they do not imply or establish a contract for employment and are subject to change at the discretion of the employer. Butterball, LLC is an equal opportunity employer and is committed to the fair and impartial treatment of all employees and applicants for employment without regard to gender, age, race, religion, color, national origin, physical or mental disability, military/veteran status, sexual orientation, gender identity and expression, genetic information, marital status, parental status, pregnancy, or any other status protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job
We embrace equal opportunity employment. Butterball is committed to the fair and impartial treatment of all employees and applicants for employment without regard to gender, age, race, religion, color, national origin, physical or mental disability, military/veteran status, sexual orientation, gender identity and expression, genetic information, marital status, parental status, pregnancy, or any other status protected by law.This position is deemed Safety Sensitive for purposes of Butterballs Drug/Alcohol Screening & Testing Policy. Details will be provided to individuals who receive a conditional job offer, or upon request.
Manager, Predictive Analytics & AI
Posted 15 days ago
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Job Description
**AI Integration Manager Job Profile**
**ABOUT DIAGEO**
With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. Join us and you'll collaborate, explore, and innovate. Challenge and be challenged. Together with passionate people from all over the world, you'll build brands consumers love.
We value each other and celebrate different perspectives. In our inclusive culture, you'll have the backing needed for new ideas and learn from them. Harness your passion and desire to grow as you make your mark. Let's unlock a brighter, more exciting future together!
**ABOUT THE ROLE**
The AI Integration Manager supports Diageo's Commercial Analytics journey by helping to explore, introduce, and begin integrating AI tools into our commercial business operations. This role will focus on piloting and maintaining AI solutions using standardized platforms and frameworks, while ensuring they complement existing processes. The manager will work across teams to surface opportunities, troubleshoot early integration challenges, and support the gradual adoption of AI capabilities across the business. This is a high-impact role with significant visibility across Diageo.
**Key Responsibilities:**
+ Identify opportunities where AI tools can enhance commercial analytics and business operations.
+ Ensure all AI initiatives align with business strategy and contribute to measurable business outcomes
+ Pilot and test AI solutions on standardized platforms, evaluating effectiveness and scalability.
+ Support integration of AI tools with existing systems, ensuring minimal disruption to current processes.
+ Collaborate with cross-functional teams (Commercial Analytics, Data & Technology, Commercial Sales) to align on business needs and use cases.
+ Document processes and learnings to help establish early AI frameworks and best practices.
+ Troubleshoot and resolve issues related to AI pilots, ensuring reliable performance.
+ Promote adoption by supporting training, communication, and change management efforts.
**Required Skills and Experience:**
+ Strong understanding of AI/ML concepts and how they can enhance commercial/business outcomes.
+ Experience managing pilots or technology integrations, ideally in analytics, digital, or commercial settings.
+ Ability to translate business needs into technical requirements and partner effectively with analytics/IT.
+ Familiarity with data platforms, APIs, and cloud tools to support light testing and integration oversight.
+ Strong project management and stakeholder engagement skills.
+ Effective communication and change management to drive adoption and trust in AI tools.
+ Passion and expertise in AI technologies and the ability to identify optimal solutions for each situation
**Preferred / Nice to Have**
+ Technical fluency with Python, JavaScript, or HTML for light prototyping, troubleshooting, or collaborating with technical teams.
+ Exposure to AI tools and platforms (e.g., Azure AI, AWS AI/ML, OpenAI, or similar).
+ Background in analytics, digital transformation, or commercial operations with an interest in emerging tech.
Flexible Working Statement:
Flexibility is key to our success. Talk to us about what flexibility means to you so that you're supported to handle your wellbeing and balance your priorities from day one.
Rewards & Benefits Statement:
We recognise and value performance, offering our people a highly competitive Rewards and Benefits package.
Diversity statement:
Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.
We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, approaches, and more.
Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.
Feel inspired? Then this may be the opportunity for you!
**Worker Type :**
Regular
**Primary Location:**
3WTC
**Additional Locations :**
**Job Posting Start Date :**
**Salary Range:**
**Minimum Salary:**
$
**Maximum Salary:**
$
**_At Diageo certain roles are eligible for additional rewards, including annual incentive payment and stock awards. US-based employees are eligible for healthcare benefits, retirement benefits , short-term and long-term disability coverage, basic life insurance, wellness benefits and industry leading parental leave, among others._** **_(Benefits/perks_** **_listed may vary depending on the nature of your employment with Diageo and the country where you work.) The salary range displayed is the salary range for the role's primary location._**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
Data Scientist - Predictive Analytics
Posted 2 days ago
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Job Description
As a Data Scientist, you will be at the forefront of developing and deploying machine learning models to forecast trends, optimize operations, and enhance customer experiences. You will work with large, diverse datasets, applying a range of statistical and machine learning techniques. Collaboration with engineering and product teams will be key to integrating these models into our core products and services. The ability to communicate complex findings clearly to both technical and non-technical audiences is essential.
Key Responsibilities:
- Design, develop, and implement machine learning models for predictive analytics.
- Clean, process, and analyze large and complex datasets from various sources.
- Conduct exploratory data analysis to identify patterns, trends, and opportunities.
- Evaluate and compare different modeling approaches to determine the most effective solutions.
- Deploy models into production environments and monitor their performance.
- Collaborate with software engineers to integrate models into applications and platforms.
- Communicate complex analytical findings and recommendations to stakeholders through visualizations and reports.
- Stay up-to-date with the latest advancements in data science and machine learning.
- Contribute to the continuous improvement of data science infrastructure and workflows.
- Mentor junior data scientists and share knowledge within the team.
We are looking for candidates with a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 5 years of professional experience in data science or machine learning is required, with a strong portfolio of predictive modeling projects. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) are essential. Familiarity with big data technologies (e.g., Spark, Hadoop) and SQL is highly desirable. Excellent analytical, problem-solving, and communication skills are critical for this remote role.
Data Scientist - Predictive Analytics
Posted 3 days ago
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Job Description
Lead Predictive Analytics Engineer
Posted 4 days ago
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Job Description
As a Lead Predictive Analytics Engineer, you will be responsible for the end-to-end lifecycle of predictive models, from data acquisition and feature engineering to model training, validation, deployment, and ongoing monitoring. You will collaborate closely with business stakeholders to understand their challenges and translate them into data-driven solutions. This position requires a thorough understanding of machine learning algorithms, statistical methods, and best practices in data engineering and MLOps. You will mentor junior team members, conduct code reviews, and ensure the highest standards of code quality and model performance. Your insights will directly influence product development, risk management, and operational efficiency, making this a highly impactful role.
Key Responsibilities:
- Lead the design, development, and implementation of sophisticated predictive models for insurance applications (e.g., risk assessment, pricing, fraud detection, customer churn).
- Architect and implement data pipelines for collecting, cleaning, and transforming large datasets from various sources.
- Apply advanced machine learning and statistical techniques to build robust and scalable predictive models.
- Develop and maintain MLOps frameworks for automated model training, deployment, monitoring, and retraining.
- Collaborate with product managers and business leaders to identify opportunities for leveraging data analytics and AI.
- Mentor and guide a team of data scientists and engineers, providing technical leadership and support.
- Conduct rigorous model validation and performance testing, ensuring accuracy and reliability.
- Communicate complex technical findings and recommendations clearly to both technical and non-technical audiences.
- Stay current with the latest advancements in machine learning, artificial intelligence, and big data technologies.
- Champion data governance and best practices within the analytics team.
- Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
- 5+ years of experience in developing and deploying predictive models, with at least 2 years in a lead or senior role.
- Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling.
- Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow).
- Excellent problem-solving, analytical, and communication skills.
- Experience in the insurance industry is highly preferred.
- Demonstrated ability to lead and mentor technical teams.
Location: This position is fully remote within the US.
Data Scientist - Predictive Analytics
Posted 7 days ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced statistical and machine learning models for predictive purposes across various business domains.
- Collect, clean, and preprocess large, complex datasets from diverse sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and potential correlations.
- Validate and test model performance, ensuring accuracy, reliability, and robustness.
- Develop and maintain data pipelines and ETL processes for model deployment and monitoring.
- Collaborate closely with business stakeholders to understand their needs and translate them into analytical solutions.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences, utilizing visualizations and storytelling.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and explore their potential applications.
- Contribute to the development of data governance and best practices within the organization.
- Mentor junior data scientists and share knowledge across the team.
- Work with engineering teams to deploy models into production environments.
- Evaluate and select appropriate algorithms and tools for specific analytical tasks.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Proven experience (5+ years) in data science, with a strong focus on predictive modeling and machine learning.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Strong understanding of statistical concepts, hypothesis testing, and experimental design.
- Experience with SQL and working with relational databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
- Experience working in a hybrid or agile development environment.
- Experience with cloud platforms (AWS, Azure, GCP) is desirable.
Data Scientist - Predictive Analytics
Posted 7 days ago
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Senior Data Scientist, Predictive Analytics
Posted 1 day ago
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Responsibilities:
- Develop, validate, and deploy advanced predictive models using machine learning and statistical techniques.
- Identify key business questions and translate them into data-driven analytical approaches.
- Perform data exploration, cleaning, feature engineering, and selection from large, complex datasets.
- Design and conduct experiments to evaluate model performance and identify areas for improvement.
- Collaborate with engineering teams to integrate predictive models into production systems.
- Communicate complex findings and insights clearly to stakeholders through visualizations and reports.
- Stay current with the latest advancements in data science, machine learning, and predictive analytics.
- Mentor junior data scientists and contribute to team knowledge sharing.
- Identify new opportunities to apply data science and predictive modeling to business challenges.
- Ensure the quality, accuracy, and scalability of data science solutions.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience as a Data Scientist, with a strong focus on predictive modeling and machine learning.
- Proficiency in Python or R, and extensive experience with relevant data science libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling, hypothesis testing, and experimental design.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
Junior Data Scientist - Predictive Analytics
Posted 1 day ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of predictive models using machine learning algorithms.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Create visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
- Collaborate with senior data scientists on model evaluation and validation.
- Participate in code reviews and contribute to the development of data science best practices.
- Research and learn new data science techniques and tools.
- Document methodologies, code, and results thoroughly.
- Assist in the preparation of reports and presentations summarizing project outcomes.
- Contribute to team discussions and brainstorming sessions for innovative data solutions.
- Gain practical experience in the full data science lifecycle, from data acquisition to model deployment.
- Follow company guidelines and ethical considerations in data handling and analysis.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work effectively in a team-oriented environment.
- Prior internship experience or personal projects in data science is a plus.
Junior Data Scientist - Predictive Analytics
Posted 1 day ago
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Job Description
As a Junior Data Scientist intern, you will assist in data collection, cleaning, analysis, and model development. Your tasks will include exploring datasets, identifying patterns, building predictive models, and communicating findings to stakeholders. This internship offers a chance to apply theoretical knowledge to solve business challenges and to learn about the entire data science workflow. We are seeking candidates who are passionate about data, eager to learn, and possess strong quantitative and programming skills.
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Support the development and implementation of statistical and machine learning models.
- Conduct experiments to test and validate model performance.
- Assist in creating visualizations and reports to communicate findings to technical and non-technical audiences.
- Collaborate with senior data scientists and analysts on ongoing projects.
- Learn and apply best practices in data science, coding, and project management.
- Contribute to documentation of data analysis processes and model development.
- Participate in team meetings and provide feedback on ongoing initiatives.
- Research and stay updated on new data science techniques and tools.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic knowledge of SQL for data extraction.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and a proactive attitude.