<h3>Job Description</h3><div>Job Description<div><div>GOBankingRates.com is a leading destination for personal finance news and information. Launched by Jeff Bartlett and Brett Rossmann in 2004, GOBankingRates (formerly ConsumerTrack) connects people with products and services that help them to lead a richer life.We are a multi-media content platform covering all aspects of your personal finance journey. Our curated editorial content, videos and podcasts utilize expert insight to teach readers the six key principles of financial literacy: how to earn, save, invest, spend, borrow and protect money. We strive to give readers the confidence they need to feel empowered about making smart financial decisions today, tomorrow and into the future</div>ABOUT THE ROLEAs a Director of Data Science on our Data Engineering team, you will own driving innovation through automation and machine learning applications that enhance our services for customers and consumers. We are seeking a highly skilled and visionary Director of Data Science to lead our data science initiatives at GOBankingRates. This role is pivotal, you will bring a wealth of experience in data science, and proven leadership skills in building and managing high-performing teams. With expertise in machine learning and digital marketing, you'll have a strong track record of driving business impact through data-driven strategies and innovative solutions. The salary range for this role is $240,000 - $260,000 + Bonus. Pay offered may vary within the posted range based on a number of factors including but not limited to job-related knowledge, skills, experience, and location.HOW YOU'LL MAKE AN IMPACT<ul><li>Design and lead data modeling practices and frameworks; develop and implement complex models to drive financial and business decisions.</li><li>Own the Data Science strategy to prioritize high-impact opportunities aligned with company goals.</li><li>Recruit, develop, and lead data science teams to create innovative machine learning applications serving our customers.</li><li>Spearhead the evolution and expansion of the EYE Platform to improve digital ad conversion and performance across key KPIs.</li><li>Translate analytical insights into actionable recommendations for business and product improvement; communicate findings clearly across all levels of the company.</li><li>Drive scalable solutions leveraging AWS infrastructure.</li><li>Establish and monitor technical and business performance metrics.</li><li>Develop and maintain technical documentation; present findings to scientists, engineers, and business leaders.</li><li>Champion best practices; mentor junior team members; foster a culture of ownership, collaboration, and results.</li><li>Promote Data Science and ML automation through training and presentations; lead initiatives to leverage new opportunities.</li></ul>WHAT YOU'LL NEED<ul><li>A bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.</li><li>Over 5 years of experience leading high-performing teams and utilizing advanced quantitative analyses and statistical modeling to positively impact business performance.</li><li>More than 5 years of hands-on experience in data science, machine learning, and NLP, including designing, developing, and deploying data-driven solutions.</li><li>A growth mindset and a passion for staying updated with the latest developments in AI/ML and Generative AI.</li><li>Experience in the digital media marketing industry with a proven ability to develop innovative methodologies that enhance digital advertising metrics like conversion rates, ad pacing, and ROI.</li><li>Expertise in refining existing processes with new data inputs and model improvements to boost ML model effectiveness.</li><li>Ability to translate data analytics into tangible business enhancements, with excellent communication skills to relay findings effectively across all company levels.</li><li>Proficiency in leveraging AWS infrastructure to drive scalable solutions.</li><li>Capability to construct and maintain precise performance indicators (technical and business) and documentation, ensuring transparency and accountability.</li><li>A track record of fostering a culture of collective ownership and achievement, with a commitment to mentoring and professional development.</li></ul><div>Benefits<ul><li>100% Remote </li><li>Competitive salary with excellent growth opportunity; we pride ourselves in having a team that exudes leadership, high initiative, creativity and passion.</li><li>Awesome medical, dental and vision plans with heavy employer contribution</li><li>Paid maternity leave and paternity leave programs</li><li>Paid vacation, sick days and holidays</li><li>Company funding for outside classes and conferences to help you improve your skills</li><li>Contribution to student loan debt payments after the first year of employment</li><li>401(k) -- employees can start contributing immediately. After the first year, GOBankingRates matches your contribution up to 4% of your salary</li></ul>We are an equal-opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.</div></div></div>

<h3>About the Role:</h3>Grade Level (for internal use): 13The Role: Director of Data Science – NLP, LLM and GenAIThe Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team. The ideal candidate must have deep design and hands-on development expertise in ML, LLMs, model development and integrating ML solutions with business functions to create the next generation of AI-powered capabilities.Responsibilities:<ul><li>ML, Gen AI, NLP, LLM Strategy: Develop and implement ML modeling and LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation.</li><li>ML, Gen AI, NLP, LLM Model Design and Development: Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. Work closely with members of technology and business leads and their teams in the design, development, and implementation of the ML model solutions.</li><li>ML, NLP, LLM Model Evaluation: Work closely with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Identify and implement model optimizations to improve system efficiency.</li><li>NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.</li><li>Internal Collaboration: Collaborate closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.</li><li>Stakeholder Engagement and Collaboration: Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.</li><li>Mentorship: Recruit, develop and mentor technical AI/ML, NLP, LLM, Gen AI talent on the team. Provide guidance and mentorship to junior ML scientists, fostering their professional growth and development.</li><li>Documentation: Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.</li><li>Standards and Best Practices: Ensure the use of standards, governance and best practices in ML model development, and adherence to model and data governance standards.</li><li>Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.</li></ul>Compensation/Benefits Information (US Applicants Only):S&P Global states that the anticipated base salary range for this position is $180,000 - $225,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.What We’re Looking For:<ul><li>Ph.D (preferred), Bachelor's or Master's degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.</li><li>7+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.</li><li>Demonstrated 4+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.</li><li>4 or more years project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).</li><li>5+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.</li><li>5+ years experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.</li><li>Strong knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI).</li><li>Experience in creating reports, projections, models, and presentations to support business goals and outcomes.</li><li>Ability to exercise independent judgment and decision making on complex issues regarding initiatives, technical and business goals and related tasks.</li><li>Experience with mentoring junior ML scientists.</li><li>Ability to work under minimal supervision, using independent judgment.</li><li>Excellent written & verbal communication and stakeholder management skill.</li><li>Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.</li><li>Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Strong familiarity with higher level trends in LLMs and open-source platforms.</li><li>Nice to have: Experience with contributing to Github and open source initiatives or in research projects.</li></ul>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.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.
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W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.<h3>Job Overview</h3>Job ID: J38097Specialized Area: Data ScienceJob Title: Director of Data ScienceLocation: New York City, NYDuration: 11 MonthsEmployment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)<h3>Minimum Qualifications</h3><ol><li>5+ years of data science team leadership with a strong leadership philosophy</li><li>Machine Learning</li><li>Predictive modeling</li><li>Hands-on Python oriented data science experience</li><li>A statistics background</li></ol>ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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About the Role:Grade Level (for internal use):12The Role: Associate Director of Data Science - NLP, LLM and GenAIS&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.Responsibilities: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.What We're Looking For: Bachelor's / Master's or Ph.D degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.4+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.Demonstrated 3+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.3+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.3+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Strong familiarity with higher level trends in LLMs and open-source platforms.Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.Compensation/Benefits Information (US Applicants Only):S&P Global states that the anticipated base salary range for this position is $150,000 - $215,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role.In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission 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 .About S&P Global RatingsAt 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.For more information, visit www.spglobal.com/ratings.#J-18808-Ljbffr

About the Role: Grade Level (for internal use): 12 The Role: Associate Director of Data Science - NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: <ol> <li>ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.</li> <li>ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.</li> <li>NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.</li> <li>Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.</li> <li>Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.</li> <li>Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.</li> <li>Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.</li> </ol> What We're Looking For: <ol> <li>Bachelor's / Master's or Ph.D degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.</li> <li>4+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.</li> <li>Demonstrated 3+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.</li> <li>3+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.</li> <li>3+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.</li> <li>Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)</li> <li>Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Strong familiarity with higher level trends in LLMs and open-source platforms.</li> <li>Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.</li> </ol> Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $150,000 - $215,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission 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 . 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. For more information, visit www.spglobal.com/ratings.
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About the Role: Grade Level (for internal use): 12 The Role: Associate Director of Data Science - NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: <ul><li>ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.</li><li>ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.</li><li>NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.</li><li>Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.</li><li>Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.</li></ul><ul><li>Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.</li></ul><ul><li>Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.</li></ul> What We're Looking For: <ul><li>Bachelor's / Master's or Ph.D degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. </li><li>4+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.</li><li>Demonstrated 3+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools. Expert in python programming.</li><li>3+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. </li><li>3+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.</li><li>Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)</li><li>Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Strong familiarity with higher level trends in LLMs and open-source platforms</li><li>Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.</li></ul> Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $150,000 - $215,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission 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. 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 www.spglobal.com/ratings 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 can take 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: <ul><li>Health & Wellness: Health care coverage designed for the mind and body.</li><li>Flexible Downtime: Generous time off helps keep you energized for your time on.</li><li>Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.</li><li>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.</li><li>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.</li><li>Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.</li></ul> For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Diversity, Equity, and Inclusion at S&P Global: At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation - Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn't stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all. 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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

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Director of Data Science Jobs in New York, NY

Director Of Data Science 100 Remote Anywhere In The UsaDecember 21, 2024

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