90 Data Scientists jobs in Edison

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The candidate will be responsible for:

• Responsibility One
• Responsibility Two
• Responsibility Three

To be considered for this role, the candidate must have:

• Qualification One
• Qualification Two
• Qualification Three

To apply for this position, please submit your resume and cover letter.

For more information, please contact (contact information removed).

New York, New York / Toronto, Ontario

Engineering / Full-Time (Remote or Hybrid) / Remote

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work - we're actively shaping it.

From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest - this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for.

This role is a Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our Head of AI. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises.

We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a Who's Who of global business, including Coca-Cola, Nestl, General Mills, ServiceNow, AstraZeneca, Prudential, Citi, CVS and Bristol Myers Squibb.

• Develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready.
• Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals.
• Work with the product team to analyze user behavior and prioritize evolving requirements.
• Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience.
• Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements.
• Documentation of models, prompts, and processes to increase replicability and drive quality improvements.
• Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI.
• Support other coding and feature development where required.

• Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
• 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field)
• Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval
• Strong foundation in data structures, algorithms, and software engineering principles.
• Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM)
• Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad)
• Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services.
• Strong analytical and problem-solving skills
• Experience structuring and running data-backed experiments
• Strong written and verbal communication skills
• Exposure to early-stage startups, preferably B2B SaaS

• Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment.
• Strong ties to the executive team, a culture of transparency and engagement with strategic decisions.
• Options from day one, which means you will be on the ownership track right away.
• Competitive salary and equity packages.
• Comprehensive health coverage (medical, dental, and vision) from day 1.
• Provision of anything you need to be successful - learning tools, hardware, office equipment, software.
• 401k optionality for US based employees
• Generous PTO, company-wide R&R shutdowns and paid leave for parents.
• A WFH stipend, phone stipend and support to work in a We Work or other space as preferred.

Location and Work Environment

If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.

Diversity and Inclusion

We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at

Unlock your potential with our cutting-edge research team in Princeton, NJ, where innovation meets real-world application. We specialize in designing complex ML systems that revolutionize industries. Join us and be part of a dynamic environment that fosters creativity and breakthroughs through state-of-the-art ML techniques on sophisticated distributed systems. **Key Qualifications:** - PhD in Computer Science, or a Master's degree with equivalent experience. - Proven track record in proposing and executing groundbreaking systems projects. - Strong research background with experience in developing large and complex distributed systems. - Excellent publication history demonstrating thought leadership. - In-depth knowledge of distributed systems, including cloud computing and ML workloads. - Proficiency in programming languages such as C, C++, Python, and familiar with leading ML frameworks. Please send a current copy of your resume with work history to for consideration. All communications are 100% confidential. Kevin McCarthy Libertyjobs.com #J-18808-Ljbffr

Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.

As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.

Job Responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation
• Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure
• Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production
• Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
• Contribute to reusable code and components that are shared internally and also externally

• PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field.
• Hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning)
• Scientific thinking and the ability to invent
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
• Curious, hardworking and detail-oriented, and motivated by complex analytical problems
• Ability to work both independently and in highly collaborative team environments

• Strong background in Mathematics and Statistics
• Familiarity with the financial services industries
• Experience with A/B experimentation and data/metric-driven product development
• Experience with cloud-native deployment in a large scale distributed environment
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
• Ability to develop and debug production-quality code
• Familiarity with continuous integration models and unit test development

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary
Jersey City,NJ $128,250.00 - $195,000.00 / year

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

We are looking for an experienced, talented and motivated Senior AI/ML Engineer to lead AI Industrialization for Verizon.

You will provide technology leadership and drive technology discussions along with Enterprise Architecture, Data Science, and Data Engineering teams.

You will also serve as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.

You will lead the charter to Industrialize AI/ML model development, feature engineering, Model validation, deployment, and model observability in both real-time and batch setup.

• Leading the study and transformation of data science prototypes

• Researching, designing, and implementing appropriate ML algorithms and tools

• Leading the consolidation and implementation of new concepts and processes in areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.

• Serving as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.

• Setting the standards for datasets and data representation methods.

• Extending existing ML libraries and frameworks.

• Determining processes and standards for running machine learning tests and experiments.

• Designing, developing, testing, deploying, maintaining, and improving machine learning system software.

• Setting the strategy for ML/AI tools and processes, determining the future needs of the business.

• Partnering with stakeholders across various business units, Enterprise Architects, Governance, Legal Council, and Security to define an overall plan for the Registry, model governance and model inventory tracking.

You will be part of an industry-wide community, staying on top of the latest and greatest technologies to ensure an outside perspective is brought into Verizon. We're looking for someone who will define best practices in architecture to operate at an enterprise scale. Additionally, you will work with leadership and help align on strategies by defining a blueprint for ML Ops and coming up with high-level design to implement solutions.

You will need to have:

• Bachelor's degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Strong experience in Spark/Hive/SQL, including hands-on experience building and deploying large volume data pipelines

• Proficiency in Python, Scala, SQL PySpark, Kafka, use of scheduling tools, Devops using Jenkins

• Experience cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services

• Hands-on experience with Model Deployment, ML Engineering techniques, MLOps and tools, including ML Models measurement techniques, real-time and batch AI processors

• Hands-on experience with modeling platforms

Even better if you have one or more of the following:

• A degree in Computer Science, Engineering or related field

• Hands-on experience with modeling platforms and tools such as and tools like Domino, Jupyter, H2O.ai, DataRobot, Conda, ML Flow

• Advanced skills in programming in Python, Java, and Git using Open Source tools like Spark, Flink and Jupyter Notebook

• Knowledge of Development Lifecycle Management, DevOps Automation methods and practices, Post-Production Model Monitoring and End-to-End Architecture

• Ability to run workloads over multiple nodes

• Knowledge of data administration practices and approaches for data collection and ingest using Open Source tools such as Logstash and Kafka in a Hadoop ecosystem

• Advanced knowledge of data science concepts and applied knowledge of practices and methods

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

About the Role: Grade Level (for internal use): 10 About the Role: We are seeking a Lead/Associate Director of ML & MLOps Engineering - GenAI to join our ML team within the Data Science COE at S&P Global focusing on building Generative AI solutions. You will lead the engineering activities for building production grade generative AI solutions, play a pivotal role in implementing our machine learning engineering operations to ensure the seamless deployment, monitoring, and management of our machine learning models and data pipelines. The Team: You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML & LLMOps engineers, data science and data engineering teams. You will contribute to engineering and developing solutions for ML operations and be a critical part of leading S&P’s AI-driven transformation to drive value internally and for our customers. S&P is a leader in automation and AI/ML to transform risk management. This role is a unique opportunity for ML/MLOps engineers to grow into the next step in their career journey. Responsibilities and Impact: Lead ML Engineering to architect, build and deploy production grade GenAI services and solutions. Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services and more. Lead MLOps/LLMOps platform development & automated pipelines focusing on deploying, monitoring and maintaining models in production environments; with model governance, cost and performance optimization. Collaborate with cross-functional teams to integrate machine learning models into production systems. Create and manage Documentation and knowledge base, including development best practices, MLOps/LLMOps processes and procedures. Workclosely with members of technology teams in the development, and implementation of Enterprise AI platform. Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $108,000 to $215,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We’re Looking For: Basic Required Qualifications: Bachelor'sdegree in Computer Science, Engineering, or a related field. 8+ years of progressive experience as in machine learning, data analytics or similar roles. 5 years of relevant experience with Writing production level, scalable code with Python (or scala) MLOps/LLMOps, machine learning engineering, Big Data, or a related role. Elasticsearch, SQL,NoSQL,Apache Airflow, ApacheSpark, Kafka, Databricks, MLflow. Containerization, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools. Distributed systems programming, AI/ML solutions architecture, Microservices architecture experience. Additional Preferred Qualifications: 2-3 years of experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions 6-12 months of experience working with RAG pipelines, prompt engineering and/or Generative AI use cases. Experience with SageMaker and/or Vertex AI Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. --- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - English_formattedESQA508c.pdf --- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) #J-18808-Ljbffr