Senior Data Scientist

Nestle
Bridgewater, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 160K

Job location

Bridgewater, United States of America

Tech stack

A/B testing
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Computer Vision
Big Data
Google BigQuery
Cloud Computing
Cluster Analysis
Encodings
Computer Programming
Data Transformation
Data Presentation
Data Visualization
Relational Databases
Monitoring of Systems
Python
Machine Learning
Natural Language Processing
Performance Tuning
Rapid Prototyping Process
Recommender Systems
Azure
Snowflake
Spark
Deep Learning
Probability Networks
Information Technology
Tools for Reporting
Synthesizing Data
Marketing Cloud
Databricks

Job description

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.

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., * 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.

Benefits & conditions

(part of Nestlé), 3.73.7 out of 5 stars Bridgewater, NJ 08807 Hybrid work $130,000 - $160,000 a year, Pulled from the full job description

  • Health insurance
  • 401(k) matching, 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.

About the company

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.

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