Senior Data Scientist
Bridgewater, NJ · On-site
Experience applying machine learning techniques, including Regression, Clustering, Probability ... Hands on experience in causal inference techniques to measure the impact of business decisions.
Senior Data Scientist
Bridgewater, NJ · On-site
Experience applying machine learning techniques, including Regression, Clustering, Probability ... Hands on experience in causal inference techniques to measure the impact of business decisions.
Senior Data Scientist
Bridgewater, NJ · On-site
Analyze large and complex datasets to identify patterns, build statistical and machine learning ... Hands on experience in causal inference techniques to measure the impact of business decisions.
Senior Data Scientist
Bridgewater, NJ · On-site
Analyze large and complex datasets to identify patterns, build statistical and machine learning ... Hands on experience in causal inference techniques to measure the impact of business decisions.
Machine Learning Operations Engineer - Remote
Jersey City, NJ · On-site +1
$76K - $102K/yr
Machine Learning Operations (MLOps) Engineer - AWS (with LLM Focus) Location: Remote work Duration ... inference optimization, and versioning. * LLMOps Practices: Implement LLMOps best practices for ...
Machine Learning Operations Engineer - Remote
Jersey City, NJ · On-site +1
$76K - $102K/yr
Machine Learning Operations (MLOps) Engineer - AWS (with LLM Focus) Location: Remote work Duration ... inference optimization, and versioning. * LLMOps Practices: Implement LLMOps best practices for ...
... causal inference methods including propensity score matching and difference-in-differences ... Leveraging supervised machine learning to find key drivers and estimate outcomes, including linear ...
... causal inference methods including propensity score matching and difference-in-differences ... Leveraging supervised machine learning to find key drivers and estimate outcomes, including linear ...
Postdoctoral Associate
Piscataway, NJ · On-site
... machine learning, optimization, privacy, and security. Activities often address applications in wide-ranging areas, including biology, robotics, cyber & physical security, economics, voting ...
Postdoctoral Associate
Piscataway, NJ · On-site
... machine learning, optimization, privacy, and security. Activities often address applications in wide-ranging areas, including biology, robotics, cyber & physical security, economics, voting ...
Senior Product Data Scientist
$120K - $180K/yr
Experience with machine learning techniques (classification, clustering, regression) and statistical modeling. * Hands-on experience with experiment design and causal inference. * Demonstrated ...
Senior Product Data Scientist
$120K - $180K/yr
Experience with machine learning techniques (classification, clustering, regression) and statistical modeling. * Hands-on experience with experiment design and causal inference. * Demonstrated ...
Data Scientist [Multiple Positions Available]
Jersey City, NJ · On-site
$142K - $170K/yr
... causal inference methods including propensity score matching and difference-in-differences ... Leveraging supervised machine learning to find key drivers and estimate outcomes, including linear ...
Data Scientist [Multiple Positions Available]
Jersey City, NJ · On-site
$142K - $170K/yr
... causal inference methods including propensity score matching and difference-in-differences ... Leveraging supervised machine learning to find key drivers and estimate outcomes, including linear ...
... causal inference methods including propensity score matching and difference-in-differences ... Leveraging supervised machine learning to find key drivers and estimate outcomes, including linear ...
... causal inference methods including propensity score matching and difference-in-differences ... Leveraging supervised machine learning to find key drivers and estimate outcomes, including linear ...
... causal inference methods including propensity score matching and difference-in-differences ... Leveraging supervised machine learning to find key drivers and estimate outcomes, including linear ...
... causal inference methods including propensity score matching and difference-in-differences ... Leveraging supervised machine learning to find key drivers and estimate outcomes, including linear ...
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
Senior Product Data Scientist
Jersey City, NJ · On-site
$120K - $180K/yr
Experience with machine learning techniques (classification, clustering, regression) and statistical modeling. * Hands-on experience with experiment design and causal inference. * Demonstrated ...
Senior Product Data Scientist
Jersey City, NJ · On-site
$120K - $180K/yr
Experience with machine learning techniques (classification, clustering, regression) and statistical modeling. * Hands-on experience with experiment design and causal inference. * Demonstrated ...
Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
Lead Data Scientist - VP - Finance Technology
Jersey City, NJ · On-site
$142K - $210K/yr
Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
Lead Data Scientist - VP - Finance Technology
Jersey City, NJ · On-site
$142K - $210K/yr
Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
Director, Analytics Standards & Impact Measurement
East Hanover, NJ · Hybrid
$194K - $361K/yr
... machine learning, causal inference, experimental design, predictive modeling, AI validation. * Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications.
Director, Analytics Standards & Impact Measurement
East Hanover, NJ · Hybrid
$194K - $361K/yr
... machine learning, causal inference, experimental design, predictive modeling, AI validation. * Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications.
Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
Director, Analytics Standards & Impact Measurement
East Hanover, NJ · Hybrid
$194K - $361K/yr
... machine learning, causal inference, experimental design, predictive modeling, AI validation. * Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications.
Director, Analytics Standards & Impact Measurement
East Hanover, NJ · Hybrid
$194K - $361K/yr
... machine learning, causal inference, experimental design, predictive modeling, AI validation. * Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications.
Director, Analytics Standards & Impact Measurement
East Hanover, NJ · On-site
$194K - $361K/yr
... machine learning, causal inference, experimental design, predictive modeling, AI validation. * Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications.
Director, Analytics Standards & Impact Measurement
East Hanover, NJ · On-site
$194K - $361K/yr
... machine learning, causal inference, experimental design, predictive modeling, AI validation. * Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications.
AI / Machine Learning Engineer
Iselin, NJ · On-site
We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Implement model optimization techniques for mobile (on-device) and cloud inference. * Apply fraud ...
Quick apply
AI / Machine Learning Engineer
Iselin, NJ · On-site
We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Implement model optimization techniques for mobile (on-device) and cloud inference. * Apply fraud ...
We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Implement model optimization techniques for mobile (on-device) and cloud inference. * Apply fraud ...
We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Implement model optimization techniques for mobile (on-device) and cloud inference. * Apply fraud ...
Causal Inference Machine Learning Postdoctoral information
What is a Causal Inference Machine Learning Postdoctoral researcher?
A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.
What are the key skills and qualifications needed to thrive as a Causal Inference Machine Learning Postdoctoral researcher, and why are they important?
To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.
What are some common challenges faced by Causal Inference Machine Learning Postdoctoral researchers when integrating causal models with real-world data?
Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.
What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?
| Aspect | Causal Inference Machine Learning Postdoctoral | Data Scientist |
|---|---|---|
| Required Credentials | PhD in statistics, machine learning, or related field | Bachelor's or Master's in data science, computer science, or related field |
| Work Environment | Academic research, research labs, universities | Corporate, tech companies, startups |
| Industry Usage | Research, academia, specialized industry projects | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Yes | Yes |
The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.
What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in New Jersey? For Causal Inference Machine Learning Postdoctoral jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in New Jersey look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in New Jersey are:
What cities in New Jersey are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in New Jersey with the most Causal Inference Machine Learning Postdoctoral job openings:
Full-time
Medical, Retirement
Re-posted 22 days ago
Job description
At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.
At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.
Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.
POSITION OVERVIEW:
We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI solutions that drive business impact in Consumer Insights and Analytics team. As a Strategic Partner to Marketing and Sales teams, success in this role requires a strong analytical mindset, expertise in building machine learning models, optimizing performance, and integrating cutting-edge technologies to enhance decision-making and automation.
KEY RESPONSIBILITIES:
EXPERIENCE AND EDUCATION REQUIREMENTS:
SKILLS:
This position will be either a remote or hybrid role based on the selected candidate's geographic location. Preference will be given to applicants who live within a commutable distance of Bridgewater, NJ.
The approximate pay range for this position is $130,000 to $160,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location.
Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at About Us | Nestlé Careers (nestlejobs.com).
#LI-EF1
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 401059
At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.
At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.
Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.
POSITION OVERVIEW:
We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI solutions that drive business impact in Consumer Insights and Analytics team. As a Strategic Partner to Marketing and Sales teams, success in this role requires a strong analytical mindset, expertise in building machine learning models, optimizing performance, and integrating cutting-edge technologies to enhance decision-making and automation.
KEY RESPONSIBILITIES:
EXPERIENCE AND EDUCATION REQUIREMENTS:
SKILLS:
This position will be either a remote or hybrid role based on the selected candidate's geographic location. Preference will be given to applicants who live within a commutable distance of Bridgewater, NJ.
The approximate pay range for this position is $130,000 to $160,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location.
Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary
At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.
Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.
POSITION OVERVIEW:
We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI solutions that drive business impact in Consumer Insights and Analytics team. As a Strategic Partner to Marketing and Sales teams, success in this role requires a strong analytical mindset, expertise in building machine learning models, optimizing performance, and integrating cutting-edge technologies to enhance decision-making and automation.
KEY RESPONSIBILITIES:
- Advanced Analytics & Insights: Develop and implement data science solutions, leveraging advanced analytics to drive data-driven decision-making, optimize business performance, and support Consumer Insights & Analytics priorities.
- Data Analysis & Modeling: Analyze large and complex datasets to identify patterns, build statistical and machine learning models, and solve critical business problems using big data technologies like Databricks, Azure ML, and Apache Spark, as well as strong data visualization for structured storytelling to drive impactful business decisions.
- Developing Advanced Models: Design deep learning and natural language processing models to analyze complex data across business processes.
- Model Monitoring & Performance Optimization: Continuously track, evaluate, and refine deployed models to maintain accuracy and relevance over time.
- AI Research & Evaluation: Research, test, and evaluate AI technologies to ensure the best tools and platforms are used for achieving business objectives.
- Enhancing Analytical Capabilities: Integrate the latest data science innovations into product solutions, enhancing data, analytical, and automation capabilities.
- Cross-Functional Collaboration: Work closely with cross-functional teams and stakeholders to provide expertise across omnichannel analytical projects and ensure alignment with business goals.
- Tool Development & Maintenance: Build, maintain, and improve analytics tools to enhance capabilities and accelerate speed to value.
EXPERIENCE AND EDUCATION REQUIREMENTS:
- Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field.
- 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, specializing in computer vision, natural language processing, or data synthesis.
- Experience developing and deploying advanced analytical models and algorithms.
- Experience applying machine learning techniques, including Regression, Clustering, Probability Networks, Artificial Intelligence (AI), and Deep Learning.
- Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning methods to solve business challenges.
- Experience working with relational database and cloud computing technologies such as Databricks, Snowflake, AWS, Azure ML and AMC, Big Query.
- Experience in transforming raw data into meaningful features for machine learning models.
- Expertise in handling missing data, scaling, encoding categorical variables, and dimensionality reduction techniques.
- Hands on experience in designing and analyzing A/B tests and other experimental methodologies.
- Hands on experience in causal inference techniques to measure the impact of business decisions.
SKILLS:
- Experience visualizing and presenting data-driven insights using Power BI and Tableau.
- Experience in developing recommendation engines for applications such as sales, customer targeting, or supply chain optimization.
- Experience in building and implementing optimization models to enhance decision-making processes.
- Familiarity with agile methodologies and rapid prototyping in data science projects.
- Strong knowledge of industry-standard tools and methodologies for model training, statistical analysis, and machine learning deployment.
- Experience working with CPG and ecommerce data sets, including retail analytics and advertising data, is a plus.
- Candidates that have experience working with AMC (Amazon Marketing Cloud) and Amazon advertising and sales data will be given priority consideration.
This position will be either a remote or hybrid role based on the selected candidate's geographic location. Preference will be given to applicants who live within a commutable distance of Bridgewater, NJ.
The approximate pay range for this position is $130,000 to $160,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location.
Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at About Us | Nestlé Careers (nestlejobs.com).
#LI-EF1
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 401059
At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.
At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.
Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.
POSITION OVERVIEW:
We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI solutions that drive business impact in Consumer Insights and Analytics team. As a Strategic Partner to Marketing and Sales teams, success in this role requires a strong analytical mindset, expertise in building machine learning models, optimizing performance, and integrating cutting-edge technologies to enhance decision-making and automation.
KEY RESPONSIBILITIES:
- Advanced Analytics & Insights: Develop and implement data science solutions, leveraging advanced analytics to drive data-driven decision-making, optimize business performance, and support Consumer Insights & Analytics priorities.
- Data Analysis & Modeling: Analyze large and complex datasets to identify patterns, build statistical and machine learning models, and solve critical business problems using big data technologies like Databricks, Azure ML, and Apache Spark, as well as strong data visualization for structured storytelling to drive impactful business decisions.
- Developing Advanced Models: Design deep learning and natural language processing models to analyze complex data across business processes.
- Model Monitoring & Performance Optimization: Continuously track, evaluate, and refine deployed models to maintain accuracy and relevance over time.
- AI Research & Evaluation: Research, test, and evaluate AI technologies to ensure the best tools and platforms are used for achieving business objectives.
- Enhancing Analytical Capabilities: Integrate the latest data science innovations into product solutions, enhancing data, analytical, and automation capabilities.
- Cross-Functional Collaboration: Work closely with cross-functional teams and stakeholders to provide expertise across omnichannel analytical projects and ensure alignment with business goals.
- Tool Development & Maintenance: Build, maintain, and improve analytics tools to enhance capabilities and accelerate speed to value.
EXPERIENCE AND EDUCATION REQUIREMENTS:
- Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field.
- 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, specializing in computer vision, natural language processing, or data synthesis.
- Experience developing and deploying advanced analytical models and algorithms.
- Experience applying machine learning techniques, including Regression, Clustering, Probability Networks, Artificial Intelligence (AI), and Deep Learning.
- Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning methods to solve business challenges.
- Experience working with relational database and cloud computing technologies such as Databricks, Snowflake, AWS, Azure ML and AMC, Big Query.
- Experience in transforming raw data into meaningful features for machine learning models.
- Expertise in handling missing data, scaling, encoding categorical variables, and dimensionality reduction techniques.
- Hands on experience in designing and analyzing A/B tests and other experimental methodologies.
- Hands on experience in causal inference techniques to measure the impact of business decisions.
SKILLS:
- Experience visualizing and presenting data-driven insights using Power BI and Tableau.
- Experience in developing recommendation engines for applications such as sales, customer targeting, or supply chain optimization.
- Experience in building and implementing optimization models to enhance decision-making processes.
- Familiarity with agile methodologies and rapid prototyping in data science projects.
- Strong knowledge of industry-standard tools and methodologies for model training, statistical analysis, and machine learning deployment.
- Experience working with CPG and ecommerce data sets, including retail analytics and advertising data, is a plus.
- Candidates that have experience working with AMC (Amazon Marketing Cloud) and Amazon advertising and sales data will be given priority consideration.
This position will be either a remote or hybrid role based on the selected candidate's geographic location. Preference will be given to applicants who live within a commutable distance of Bridgewater, NJ.
The approximate pay range for this position is $130,000 to $160,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location.
Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary
About Nestl
Sourced by ZipRecruiter
Industry
Food and beverage wholesalers
Company size
10,000+ Employees
Headquarters location
Vevey, Vaud, ch