Jobs via eFinancialCareers
Lead Data Scientist
Jobs via eFinancialCareers, Columbia, South Carolina, us, 29228
About the Role:
Grade Level (for internal use):
11The Team:The data science team is responsible for extracting insights and knowledge from complex datasets to create new products and solve strategic business problems. What sets this team apart is its emphasis on empirical evidence and continuous learning, valuing a balance between technical rigor, creativity in problem-solving, and a strong commitment to producing tangible value through data-driven solutions. Currently, the team is focusing on the implementation of a few GenAI-powered enterprise-scale projects.
The Responsibilities & Impact:A lead data scientist significantly contributes to the business by leading advanced GenAI-powered projects and mentoring junior team members. This work positively impacts clients by delivering more accurate predictions, personalized experiences, and innovative solutions that ultimately foster greater customer satisfaction and competitive advantage.
Lead data scientists in developing and implementing cutting-edge large-scale generative AI and LLM-powered systems.Collaborate with cross-functional teams, including engineers, credit risk business experts, and product managers to understand business requirements, and design and develop LLM-based solutions.Apply statistical analysis and ML techniques to extract meaningful insights from large-scale financial datasets.Research and evaluate new methodologies, tools, and algorithms in the field of data-driven credit risk analytics and AI to improve products' accuracy and efficiency.Efficiently communicate results to both technical and non-technical stakeholders through presentations, visualizations, and reports.Stay updated with the latest advancements in Generative AI to contribute to product innovation effectively.Compensation/Benefits Information:S&P Global states that the anticipated base salary range for this position is $88,700 - $195,800. The 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, visit Our Benefits (spgbenefits.com).
What We're Looking For:
Basic Qualifications:Play a pivotal role in shaping the team's growth by mentoring junior members and fostering a culture of continuous learning, both personal and professional development.Collaborate with cross-functional teams to transform data insights into actionable business strategies, positively impacting clients and markets through data-driven solutions.A master's or Ph.D. degree in Computer Science, Physics, Applied Mathematics, or a related field with a focus on Deep Learning and NLP.Experience in leading data science projects with a strong background in financial risk and deep learning.Proficiency in programming languages such as Python and experience with deep learning frameworks and cloud-based computational platforms.In-depth understanding of statistical analysis combined with critical thinking and problem-solving skills.Ability to mentor and guide junior data scientists.Curiosity and willingness to learn new technologies and advancements in Deep Learning, GenAI, and beyond.Ability to collaborate across the board to contribute to the development of the overall data science strategy and vision.Right to Work Requirements:This role is limited to persons with indefinite right to work in the United States.
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, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
About S&P Global Market Intelligence:At S&P Global Market Intelligence, a division of S&P Global, we understand the importance of accurate, deep, and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
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.
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: https://spgbenefits.com/benefit-summariesDiversity, 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.
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.
Job ID:
289710
Posted On:
2024-07-07
Location:
Virtual, New York, United States
#J-18808-Ljbffr
Grade Level (for internal use):
11The Team:The data science team is responsible for extracting insights and knowledge from complex datasets to create new products and solve strategic business problems. What sets this team apart is its emphasis on empirical evidence and continuous learning, valuing a balance between technical rigor, creativity in problem-solving, and a strong commitment to producing tangible value through data-driven solutions. Currently, the team is focusing on the implementation of a few GenAI-powered enterprise-scale projects.
The Responsibilities & Impact:A lead data scientist significantly contributes to the business by leading advanced GenAI-powered projects and mentoring junior team members. This work positively impacts clients by delivering more accurate predictions, personalized experiences, and innovative solutions that ultimately foster greater customer satisfaction and competitive advantage.
Lead data scientists in developing and implementing cutting-edge large-scale generative AI and LLM-powered systems.Collaborate with cross-functional teams, including engineers, credit risk business experts, and product managers to understand business requirements, and design and develop LLM-based solutions.Apply statistical analysis and ML techniques to extract meaningful insights from large-scale financial datasets.Research and evaluate new methodologies, tools, and algorithms in the field of data-driven credit risk analytics and AI to improve products' accuracy and efficiency.Efficiently communicate results to both technical and non-technical stakeholders through presentations, visualizations, and reports.Stay updated with the latest advancements in Generative AI to contribute to product innovation effectively.Compensation/Benefits Information:S&P Global states that the anticipated base salary range for this position is $88,700 - $195,800. The 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, visit Our Benefits (spgbenefits.com).
What We're Looking For:
Basic Qualifications:Play a pivotal role in shaping the team's growth by mentoring junior members and fostering a culture of continuous learning, both personal and professional development.Collaborate with cross-functional teams to transform data insights into actionable business strategies, positively impacting clients and markets through data-driven solutions.A master's or Ph.D. degree in Computer Science, Physics, Applied Mathematics, or a related field with a focus on Deep Learning and NLP.Experience in leading data science projects with a strong background in financial risk and deep learning.Proficiency in programming languages such as Python and experience with deep learning frameworks and cloud-based computational platforms.In-depth understanding of statistical analysis combined with critical thinking and problem-solving skills.Ability to mentor and guide junior data scientists.Curiosity and willingness to learn new technologies and advancements in Deep Learning, GenAI, and beyond.Ability to collaborate across the board to contribute to the development of the overall data science strategy and vision.Right to Work Requirements:This role is limited to persons with indefinite right to work in the United States.
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, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
About S&P Global Market Intelligence:At S&P Global Market Intelligence, a division of S&P Global, we understand the importance of accurate, deep, and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
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.
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: https://spgbenefits.com/benefit-summariesDiversity, 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.
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.
Job ID:
289710
Posted On:
2024-07-07
Location:
Virtual, New York, United States
#J-18808-Ljbffr