Position Summary... What you'll do... We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on the web site, phone or the iPad, our service goes to work. We mine billions of search queries and hundreds of millions of products to find the most relevant products for our customers. Team members take end-to-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers. As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision problems. The algorithms you develop will champion customers need to express their intent and our goal to understand their preferences, implicitly or explicitly, across devices and modalities (voice, text, image etc.). You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the Fortune #1 enterprise. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey. We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on the web site, phone or the iPad, our service goes to work. We mine billions of search queries and hundreds of millions of products to find the most relevant products for our customers. Team members take end-to-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers. About Team : Search Algorithm Team is dedicated to helping millions of customers find the ideal products every day. As part of the Ranking Team, your primary focus will be to enhance one of the key facets of product search - optimizing the ranking of relevant products based on multiple factors such as GMV, conversion, diversity, and cold start. What you'll do : <ul> <li>Applying machine learning ranking algorithms to maximize the relevance of search system and minimize risks. </li><li>Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems. </li><li>Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development. </li><li>Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommender system. </li></ul> What you'll bring : <ul> <li>Ph.D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields. </li><li>You have 3+ years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale. </li><li>You have experience with data cleaning, preparation, and featurization and selection techniques. </li><li>You have experience working with large datasets to solve problems. </li><li>You have experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop. </li><li>You have/had hands-on experience with Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes. </li><li>You have effective communication, interpersonal and teamwork skills. </li><li>You have the ability to handle multiple concurrent projects while working independently and in teams. </li><li>You can work in a fast-paced and deadline driven environment. </li></ul> About Walmart Global Tech : Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, Hybrid Work : We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Benefits : Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer : Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $108,000.00-$216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location... 221 River St, Hoboken, NJ 07030, United States of America

TransUnion's Job Applicant Privacy Notice
What We'll Bring:
At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.
Come be a part of our team – you’ll work with great people, pioneering products, and cutting-edge technology.
What You'll Bring:
2+ years of practical experience working as a data scientist applying machine learning to real-world problems
Great communication skills to articulate technical aspects of model development to internal and external customers
Exposure to credit portfolio management, loss forecasting, and risk management
Excellent understanding of machine learning techniques and algorithms, i.e., Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting, etc.
Experience with common data science toolkits, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras
Proven applied statistics skills, such as distributions, statistical testing, regression, regulation
Logical, evidence-based problem-solving and critical thinking skills
We'd Love to See:
Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science, or aligned discipline
Working familiarity with cloud computing environments
Exposure to NLP algorithms
Impact You'll Make:
Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.
Ability to research and develop new approaches, keeping up to date. Tests new statistical analysis methods, software, and data sources for continual improvement of quantitative solutions.
Process, cleanse, and verify the integrity of data used for analysis.
Conduct ad-hoc analysis and present results clearly.
Communicate results and ideas to key decision-makers.
Create clear and easy-to-understand documents for models.
Present analysis ideas, progress reports, and results to internal and external customers.
Collaborate with Lead Data Scientist to develop technical/business approaches and new or enhanced technical tools. Participate in collaborations for implementation.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Benefits:
TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion’s Employee Resource Groups.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity, or any other characteristic protected by law.
Pay Scale Information:   The salary range for this position is $80,845.00 - $132,600.00. *The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s). This position is eligible for bonus incentive(s). At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations.
TransUnion's Internal Job Title:
Consultant, Data Science and Analytics

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Position Summary...

What you'll do...

As a Computer Vision Engineer, you will be designing, training and deploying state-of-art AI models in real-world production environment. In conjunction with multiple product and technology groups, you will work to create a best-in-class consumer experience in the physical retail space.

You'll sweep us off our feet if....

Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open-source repositories (e.g. GitHub).
Experience with research and development of computer vision (object detection, tracking, scene understanding)
You'll make an impact by...     Developing computer vision algorithms and machine learning models to enhance different customer facing application.
Collaborate within projects within a mixed team of software engineer and computer vision engineer.
Follow and apply engineering and computer vision best practices,
What you'll do...     Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding.
Ensure model robustness, model generalization, accuracy, testability, and efficiency.
Write product or system development code.
What you'll bring...     Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Vision, relevant technical field, or equivalent practical experience. Or MS with 2 years industry experience
Experience in one or more of the following areas: machine learning, deep learning, computer vision
Experience in programming languages with a technical background
You are a team player - that is, you're a nice person - see no ego.
Highly motivated and independent; results oriented.
A self-learner: ability to effectively adapt to rapidly changing technology and apply it to business needs, integrate multiple tools together to solve business problems.

Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.); Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming languages like R/Python; Basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To select the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Define and finalize features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identify the dimensions of the experiment, finalize the design, test hypotheses, and conduct the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems.

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.

Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.

Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.
Live our ValuesCulture Champion Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.Servant Leadership Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.Embrace ChangeCuriosity & Courage Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.Digital Transformation & Change Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.Deliver for the CustomerCustomer Focus Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.Strategic Thinking Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.Focus on our Associates
Diversity, Equity & Inclusion Embraces diversity in all its forms and actively supports diversity of ideas and perspectives, as well as diversity goal programs.Collaboration & Influence Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.Talent Management Contributes to an environment allowing everyone to bring their best selves to work, demonstrates engagement and commitment to the team, and recognizes others' contributions and accomplishments.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see https://one.walmart.com/notices .

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart .

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see https://one.walmart.com/notices .

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart .

Hoboken, New Jersey US-10279:The annual salary range for this position is $108,000.00-$216,000.00

Sunnyvale, California US-08479:The annual salary range for this position is $117,000.00-$234,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

- Stock

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

221 River St, Hoboken, NJ 07030, United States of America

Job Title - Sr. Data Scientist
Job Summary
We are seeking an experienced Asso. Principal-Data Sc. with 18-20 years of experience to join our team. The ideal candidate will have expertise in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, AI, NLP, Deep Learning, PyTorch, AI-enabled chatbot, Tensorflow, R Statistical Package, Python, and SEO. Experience in Supply Chain Management and Supply Chain - Consumer Goods is a plus. This is a hybrid work model.
Responsibilities
Lead the development and implementation of advanced data science models and algorithms to solve complex business problems.
Oversee the design and execution of exploratory data analysis (EDA) to uncover insights and patterns in large datasets.
Provide expertise in machine learning and deep learning techniques to develop predictive models and improve decision-making processes.
Utilize Azure Open AI Service and Cloud AutoML to build scalable AI solutions.
Implement and manage ML Ops practices to ensure the reliability and efficiency of machine learning workflows.
Develop and deploy AI-enabled chatbots using Dialogflow and other relevant technologies.
Apply natural language processing (NLP) techniques to analyze and interpret unstructured data.
Use OpenCV and other computer vision tools to develop image and video analysis solutions.
Integrate knowledge graph technologies to enhance data connectivity and context understanding.
Collaborate with cross-functional teams to ensure the successful deployment of data science solutions.
Conduct thorough statistical analysis using R Statistical Package and Python to support data-driven decision-making.
Optimize search engine performance through effective SEO strategies.
Stay updated with the latest advancements in AI and machine learning to continuously improve our solutions.
Mentor and guide junior data scientists to foster a culture of continuous learning and innovation.
Qualifications
Possess a strong background in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, AI, NLP, Deep Learning, PyTorch, AI-enabled chatbot, Tensorflow, R Statistical Package, Python, and SEO.
Demonstrate experience in Supply Chain Management and Supply Chain - Consumer Goods is a plus.
Exhibit excellent problem-solving skills and the ability to work in a hybrid work model.
Showcase strong communication and collaboration skills to work effectively with cross-functional teams.
Hold a proven track record of successfully leading and implementing data science projects.
Display a commitment to staying updated with the latest industry trends and technologies.
Show proficiency in mentoring and guiding junior team members to achieve their full potential.
Certifications Required
Certified Data Scientist, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate
Salary and Other Compensation:  Applications will be accepted until Jan 3rd 2025. The annual salary for this position is between $120-175K depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans.
Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance, Paid holidays plus Paid Time Off, 401(k) plan and contributions, Long-term/Short-term Disability, Paid Parental Leave, Employee Stock Purchase Plan.
Disclaimer:  The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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Qualifications   Master's or PhD degree in statistics, applied mathematics, physics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor's degree in a quantitative field with 3+ years of relevant professional experience
4+ years of experience in analytics based roles, supporting internal and external clients
Advanced programming skills with the below tools:
R or Python
SQL, C/C++, Java, Ab Initio
Hive, Spark
Solid understanding of deep learning concepts and architectures
Strong knowledge of time series analysis, modeling and forecasting time series data and hands-on implementation experience with machine learning frameworks (TensorFlow)
Proven project management abilities; designing, developing, and delivering complex solutions
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week
Prior experience working in financial services or FinTech
Working knowledge of large language models (LLM)
Hands-on experience with Generative AI (GenAI)
Experience with Google Cloud Platform
Responsibilities   Own analytic consulting for a variety of clients, identifying strategies and opportunities to test and adopt TransUnion's analytic products and services
Lead complex custom analytic engagements for a variety of business use cases from start to finish; contributing to opportunity management, designing solutions, leading analytic developments, and seeing solutions through to deployment and ongoing monitoring
Present analytic insights and recommendations for internal and external customers
Develop analytic solutions, formalizing some efforts into repeatable process improvements
Contribute to research and innovation initiatives; leading analytic research teams/interns on a project basis
Benefits   TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion's Employee Resource Groups.
The salary range for this position is $95,105.00 - $156,000.00.
*The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s).

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Job Title - Sr. Data Scientist
Job Summary
We are seeking an experienced Sr. Data Scientist with 18-20 years of experience to join our team. The ideal candidate will have expertise in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, AI, NLP, Deep Learning, PyTorch, AI-enabled chatbot, TensorFlow, R Statistical Package, Python, and SEO. Experience in Supply Chain Management and Consumer Goods is a plus. This is a hybrid work model.
Responsibilities
Lead the development and implementation of advanced data science models and algorithms to solve complex business problems.
Oversee the design and execution of exploratory data analysis (EDA) to uncover insights and patterns in large datasets.
Provide expertise in machine learning and deep learning techniques to develop predictive models and improve decision-making processes.
Utilize Azure Open AI Service and Cloud AutoML to build scalable AI solutions.
Implement and manage ML Ops practices to ensure the reliability and efficiency of machine learning workflows.
Develop and deploy AI-enabled chatbots using Dialogflow and other relevant technologies.
Apply natural language processing (NLP) techniques to analyze and interpret unstructured data.
Use OpenCV and other computer vision tools to develop image and video analysis solutions.
Integrate knowledge graph technologies to enhance data connectivity and context understanding.
Collaborate with cross-functional teams to ensure the successful deployment of data science solutions.
Conduct thorough statistical analysis using R Statistical Package and Python to support data-driven decision-making.
Optimize search engine performance through effective SEO strategies.
Stay updated with the latest advancements in AI and machine learning to continuously improve our solutions.
Mentor and guide junior data scientists to foster a culture of continuous learning and innovation.
Qualifications
Possess a strong background in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, AI, NLP, Deep Learning, PyTorch, AI-enabled chatbot, TensorFlow, R Statistical Package, Python, and SEO.
Demonstrate experience in Supply Chain Management and Consumer Goods.
Exhibit excellent problem-solving skills and the ability to work in a hybrid work model.
Showcase strong communication and collaboration skills to work effectively with cross-functional teams.
Hold a proven track record of successfully leading and implementing data science projects.
Display a commitment to staying updated with the latest industry trends and technologies.
Show proficiency in mentoring and guiding junior team members to achieve their full potential.
Certifications Required
Certified Data Scientist, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate.
Salary and Other Compensation:  Applications will be accepted until Jan 3rd 2025. The annual salary for this position is between $120K - $175K depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant’s applicable plans.
Benefits:  Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance, Paid holidays plus Paid Time Off, 401(k) plan and contributions, Long-term/Short-term Disability, Paid Parental Leave, Employee Stock Purchase Plan.
Disclaimer:  The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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Job Title - Sr. Data Scientist
Job Summary
We are seeking an experienced Asso. Principal-Data Sc. with 18-20 years of experience to join our team. The ideal candidate will have expertise in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, AI, NLP, Deep Learning, PyTorch, AI-enabled chatbot, Tensorflow, R Statistical Package, Python, and SEO. Experience in Supply Chain Management and Supply Chain - Consumer Goods is a plus. This is a hybrid work model.
Responsibilities
Lead the development and implementation of advanced data science models and algorithms to solve complex business problems.
Oversee the design and execution of exploratory data analysis (EDA) to uncover insights and patterns in large datasets.
Provide expertise in machine learning and deep learning techniques to develop predictive models and improve decision-making processes.
Utilize Azure Open AI Service and Cloud AutoML to build scalable AI solutions.
Implement and manage ML Ops practices to ensure the reliability and efficiency of machine learning workflows.
Develop and deploy AI-enabled chatbots using Dialogflow and other relevant technologies.
Apply natural language processing (NLP) techniques to analyze and interpret unstructured data.
Use OpenCV and other computer vision tools to develop image and video analysis solutions.
Integrate knowledge graph technologies to enhance data connectivity and context understanding.
Collaborate with cross-functional teams to ensure the successful deployment of data science solutions.
Conduct thorough statistical analysis using R Statistical Package and Python to support data-driven decision-making.
Optimize search engine performance through effective SEO strategies.
Stay updated with the latest advancements in AI and machine learning to continuously improve our solutions.
Mentor and guide junior data scientists to foster a culture of continuous learning and innovation.
Qualifications
Possess a strong background in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, AI, NLP, Deep Learning, PyTorch, AI-enabled chatbot, Tensorflow, R Statistical Package, Python, and SEO.
Demonstrate experience in Supply Chain Management and Supply Chain - Consumer Goods is a plus.
Exhibit excellent problem-solving skills and the ability to work in a hybrid work model.
Showcase strong communication and collaboration skills to work effectively with cross-functional teams.
Hold a proven track record of successfully leading and implementing data science projects.
Display a commitment to staying updated with the latest industry trends and technologies.
Show proficiency in mentoring and guiding junior team members to achieve their full potential.
Certifications Required
Certified Data Scientist, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate
Salary and Other Compensation: Applications will be accepted until Jan 3rd 2025. The annual salary for this position is between $120-175K depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans.
Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance, Paid holidays plus Paid Time Off, 401(k) plan and contributions, Long-term/Short-term Disability, Paid Parental Leave, Employee Stock Purchase Plan.
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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TransUnion's Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
What We'll Bring:
At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology.   What You'll Bring:
Bachelors degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
2+ years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry
Strong analytical, critical thinking, and creative problem-solving skills
Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools
Ability to travel 10-20%
We'd Love to See:
Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
Familiarity with credit bureau data and knowledge of designing, developing, and deploying consumer credit models for the Financial Services industry
Excellent understanding of machine learning techniques and algorithms such as Classification, Regression, Clustering, Gradient Boosting, Feature Engineering etc.
Strong applied statistical skills, such as distributions, hypothesis testing, regularization, etc.
Experience with modern "big data" frameworks (Hadoop, Spark, cloud)
Impact You'll Make:
This position is responsible for supporting the model development for marketing, credit risk management and other business intelligence analytic solutions through consulting engagements and research serving TransUnion's clients.
You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for TU's B2B customers globally. This includes but is not limited to developing predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks.
You will contribute in analytic engagements involving descriptive and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging various techniques (e.g., segmentation, scenario and sensitivity analysis).
You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on server and cloud based computing platforms.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.   Benefits:
TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion's Employee Resource Groups.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
Pay Scale Information : The salary range for this position is $69,690.00 - $114,400.00. *The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s). This position is eligible for bonus incentive(s). At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations.  TransUnion's Internal Job Title:
Sr Analyst, Data Science and Analytics

Position Summary... What you'll do... As a Computer Vision Engineer, you will be designing, training and deploying state-of-art AI models in real-world production environment. In conjunction with multiple product and technology groups, you will work to create a best-in-class consumer experience in the physical retail space. You'll sweep us off our feet if.... <ul> <li>Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. </li><li>Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open-source repositories (e.g. GitHub). </li><li>Experience with research and development of computer vision (object detection, tracking, scene understanding) </li></ul>You'll make an impact by... <ul> <li>Developing computer vision algorithms and machine learning models to enhance different customer facing application. </li><li>Collaborate within projects within a mixed team of software engineer and computer vision engineer. </li><li>Follow and apply engineering and computer vision best practices, </li></ul>What you'll do... <ul><li> Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding. </li><li> Ensure model robustness, model generalization, accuracy, testability, and efficiency. </li><li> Write product or system development code. </li> </ul>What you'll bring... <ul> <li>Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Vision, relevant technical field, or equivalent practical experience. Or MS with 2 years industry experience </li><li>Experience in one or more of the following areas: machine learning, deep learning, computer vision </li><li>Experience in programming languages with a technical background </li><li>You are a team player - that is, you're a nice person - see no ego. </li><li>Highly motivated and independent; results oriented. </li><li>A self-learner: ability to effectively adapt to rapidly changing technology and apply it to business needs, integrate multiple tools together to solve business problems. </li></ul> Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.); Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming languages like R/Python; Basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To select the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Define and finalize features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identify the dimensions of the experiment, finalize the design, test hypotheses, and conduct the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. Live our ValuesCulture Champion Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.Servant Leadership Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.Embrace ChangeCuriosity & Courage Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.Digital Transformation & Change Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.Deliver for the CustomerCustomer Focus Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.Strategic Thinking Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.Focus on our Associates Diversity, Equity & Inclusion Embraces diversity in all its forms and actively supports diversity of ideas and perspectives, as well as diversity goal programs.Collaboration & Influence Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.Talent Management Contributes to an environment allowing everyone to bring their best selves to work, demonstrates engagement and commitment to the team, and recognizes others' contributions and accomplishments. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . Hoboken, New Jersey US-10279:The annual salary range for this position is $108,000.00-$216,000.00 Sunnyvale, California US-08479:The annual salary range for this position is $117,000.00-$234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 221 River St, Hoboken, NJ 07030, United States of America

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Data Scientist Jobs in White Plains, NY

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