Company Description Jobs for Humanity is collaborating with FIS Global to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life. Company Name: FIS Global Job Description Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor's Degree Travel Percentage : 1 - 5% Job Description As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company, and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we'd like to ask you: Are you FIS? About the team We are the FIS Embedded Finance team, and our mission is to enable developers across all verticals to imagine, create and monetize financial products to profoundly transform the way the entire financial industry consumes services. Today, it's difficult for many businesses to build the financial products they imagine. Whether that's launching a new credit or debit card, a savings account, a lending business, or anything else - there are barriers in the way that require excessive time and effort. We make it trivially easy for businesses to compliantly offer financial products and innovate on their key differentiators rather than spend all their time building and maintaining financial infrastructure. Learn more about us at atelio.com. About the role We are looking for a Senior Data Scientist to join our team and play a crucial role in generating insights and supporting data-driven decision making across the organization. You will be responsible for researching, designing, developing, and implementing data science solutions to solve complex business problems. Note: We have a hybrid work environment in our Seattle/Bellevue, office unless the role or business dictates otherwise. What you will be doing <ul><li>Develop and lead statistical and machine learning efforts in relation to your projects. Our projects leverage machine learning, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more.</li></ul> <ul><li>Leverage large scale data processing such as Spark, Hive, and off-the-shelf systems.</li></ul> <ul><li>Conduct original analyses to advise and influence product, engineering, and operations efforts. Communicate findings to stakeholders in a clear and concise way.</li></ul> <ul><li>Partner with business stakeholders to understand their needs and translate those needs into data-driven solutions.</li></ul> <ul><li>Develop and implement machine learning (ML) models to extract insights from data.</li></ul> <ul><li>Analyze large datasets to identify trends, anomalies, and opportunities for improvement.</li></ul> <ul><li>Participate in the development of data pipelines to ensure the quality and availability of data for analysis.</li></ul> <ul><li>Stay up-to-date on the latest data science trends and technologies.</li></ul> <ul><li>Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations.</li></ul> <ul><li>Propose and implement innovative solutions and best practices.</li></ul> What you will need <ul><li>A master's in Statistics, Computer Science, Math, Physics or a related field.</li></ul> <ul><li>2+ years of relevant professional work experience in a data science or similar role.</li></ul> <ul><li>Proven experience applying machine learning and statistical modeling techniques to solve real-world problems.</li></ul> <ul><li>Strong programming skills in Python or R.</li></ul> <ul><li>Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.</li></ul> <ul><li>Proven familiarity with code and programming concepts</li></ul> Added bonus if you have <ul><li>Typical qualifications for the role are 5+ years of relevant professional experience or a combination of work experience and advanced education.</li></ul> <ul><li>A PhD in Statistics, Computer Science, Math, Physics or a related field.</li></ul> <ul><li>Proven ability to self-direct your technical work and scope projects effectively.</li></ul> <ul><li>Experience as a data scientist at a company with global operations</li></ul> <ul><li>Experience leading and mentoring junior engineers.</li></ul> <ul><li>Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.</li></ul> <ul><li>Familiarity with statistical analysis, forecasting techniques, and data modeling.</li></ul> <ul><li>Familiarity with financial concepts or fintech software.</li></ul> <ul><li>Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.</li></ul> <ul><li>A strong understanding of security best practices for building enterprise applications.</li></ul> What we offer you At FIS, we hire the best. In return, you receive exceptional benefits including: <ul><li>Opportunities to innovate in fintech.</li></ul> <ul><li>Tools for personal and professional growth.</li></ul> <ul><li>Inclusive and diverse work environment.</li></ul> <ul><li>Resources to invest in your community.</li></ul> <ul><li>Competitive salary and benefits.</li></ul> FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $98,090.00 - $164,800.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process. Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Company Description Jobs for Humanity is collaborating with FIS Global to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life. Company Name: FIS Global Job Description Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor of Computer Science Travel Percentage : 1 - 5% Job Description As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company, and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we'd like to ask you: Are you FIS? About the team We are the FIS Automated Finance team, and we build software to unlock intelligent cash management, Accounts Payable (AP), and Accounts Receivables (AR) for some of the largest companies in the world. We are recognized as an industry leader for Order-to-Cash, utilizing ML and AI for intelligent automation, and AP optimization using Virtual Cards, but we're not stopping there. We are building new features for our customers, accelerating time-to-value, and unlocking AP & AR services for the larger FinTech platform, to enable developers across all verticals to easily consume our services. Learn more about us at atelio.com. About the role We are looking for a Senior Data Scientist to join our team and play a crucial role in generating insights and supporting data-driven decision making across the organization. You will be responsible for researching, designing, developing, and implementing data science solutions to solve complex business problems. What you will be doing <ul><li>Develop and lead statistical and machine learning efforts in relation to your projects. Our projects leverage machine learning, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more.</li><li>Leverage large scale data processing such as Spark, Hive, and off-the-shelf systems.</li><li>Conduct original analyses to advise and influence product, engineering, and operations efforts. Communicate findings to stakeholders in a clear and concise way.</li><li>Partner with business stakeholders to understand their needs and translate those needs into data-driven solutions.</li><li>Develop and implement machine learning (ML) models to extract insights from data.</li><li>Analyze large datasets to identify trends, anomalies, and opportunities for improvement.</li><li>Participate in the development of data pipelines to ensure the quality and availability of data for analysis.</li><li>Stay up-to-date on the latest data science trends and technologies.</li><li>Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations.</li><li>Propose and implement innovative solutions and best practices.</li></ul> What you will need <ul><li>A master's in Statistics, Computer Science, Math, Physics or a related field.</li><li>2+ years of relevant professional work experience in a data science or similar role.</li><li>Proven experience applying machine learning and statistical modeling techniques to solve real-world problems.</li><li>Strong programming skills in Python or R.</li><li>Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.</li><li>Proven familiarity with code and programming concepts</li></ul> Added bonus if you have <ul><li>Typical qualifications for the role are 5+ years of relevant professional experience or a combination of work experience and advanced education.</li><li>A PhD in Statistics, Computer Science, Math, Physics or a related field.</li><li>Proven ability to self-direct your technical work and scope projects effectively.</li><li>Experience as a data scientist at a company with global operations</li><li>Experience leading and mentoring junior engineers.</li><li>Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.</li><li>Familiarity with statistical analysis, forecasting techniques, and data modeling.</li><li>Familiarity with financial concepts or fintech software.</li><li>Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.</li><li>A strong understanding of security best practices for building enterprise applications.</li></ul> What we offer you At FIS, we hire the best. In return, you receive exceptional benefits including: <ul><li>Opportunities to innovate in fintech.</li><li>Tools for personal and professional growth.</li><li>Inclusive and diverse work environment.</li><li>Resources to invest in your community.</li><li>Competitive salary and benefits.</li></ul> #Atelio FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $115,590.00 - $194,180.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process. Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Company Description Jobs for Humanity is collaborating with FIS Global to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life. Company Name: FIS Global Job Description Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Doctor of Philosophy Travel Percentage : 0% Job Description FIS technology processes more than $40 Trillion per year and enables 95% of the world's leading banks. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Senior Data Scientist, you will tackle challenges ranging from identity theft to credit card fraud, to money laundering, and more. The technology you build will protect individuals, businesses and financial institutions from fraudsters ranging from individuals up to multinational organized crime rings. The fraud prevention space is fast-paced and rapidly changing. You will work cross-discipline with data scientists, analytics, product, and more. Our ideal candidate not only brings technical skills to the table but has the appetite to dig into deeply complex problems, while learning new skills along the way. We are leading the way and leveraging our wealth of data to create best-in-class solutions. About the Team: Build best-in-class ML models to detect and score Fraud, Risk in real-time and generate actionable insights for Financial Institutions and FinTech clients. Own Model Build, monitoring, and maintenance of FIS Financial Intelligence products. Be part of a fast-growing, well-funded startup-y team within a larger company where we are laying the foundation and paving the way toward a customer-obsessed product, design, and engineering culture. What you will be doing: •Employ Machine Learning and Artificial Intelligence to create best-in-class Fraud, Risk, and KYC products •Analyze and extract insights from large internal and external data set •Work with a variety of Data/ Data science platforms such as Snowflake, Databricks, MLflow, AWS Sagemaker, leveraging Python, Spark/Scala, SQL •Work with ML Engineering and Data Engineering teams to bring models from idea to production •Build and maintain low-latency fraud, risk models •Work independently and collaborate with teams across organizations to solve complex problems •Create and present analyses to internal and external partners and clients •Document models, write code to track and monitor models and product performance What you will bring: Masters or PhD in Computer Science, Statistics, Decision Sciences, Applied Mathematics, Economics or the equivalent combination of education, training, and work experience. •Expert knowledge in Machine Learning, Artificial Intelligence, statistical modeling •Expert knowledge with Neural Network frameworks (Keras/TensorFlow, PyTorch, etc.) and traditional ML frameworks (3-5+ years relevant experience) •Proficient in data science tools and programming languages such as Python, Spark/Scala, SQL •Proficient in working with real-time data streams (Kafka, Flink, Azure Stream, Storm, etc.) •Experience working with feature stores, ML governance/monitoring, model versioning, A/B and Champion/Challenger setups •Experience or knowledge of cloud-based technology (AWS, Azure, GCP) What we offer you: At FIS, we hire the best. In return, you receive exceptional benefits including: <ul><li>Opportunities to innovate in fintech</li><li>Tools for personal and professional growth</li><li>Inclusive and diverse work environment</li><li>Resources to invest in your community</li><li>Competitive salary and benefits</li></ul> FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $136,190.00 - $228,790.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process. Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Company Description

Jobs for Humanity is partnering with EDWARD JONES to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: EDWARD JONES

Job Description

At Edward Jones, we help clients achieve their serious, long-term financial goals by understanding their needs and implementing tailored solutions. To ensure a personal client experience, we have located our 15,000+ branch offices where our more than 7 million clients live and work.

In a typical branch office, a financial advisor meets with clients and receives branch office support, so they can focus on building deep relationships with clients. Headquarters associates in St. Louis, Tempe and Mississauga provide support and expertise to help U.S. and Canada branch teams deliver an ideal client experience. We continue to grow to meet the needs of long-term individual investors.

Join the Firm Analytics team and help us unlock the power of AI to solve a wide range of business challenges and improve the people-experience through AI-driven capabilities and insights. As a Data Scientist on our team, you will design, develop, and deliver data science solutions requiring LLM and NLP models in support of data driven strategies. You will combine data from multiple sources to develop innovative approaches to solve challenging business problems. You will collaborate with business partners and other data scientists to develop tailored solutions and execute projects from design through implementation and final delivery to internal business partners.

Key Responsibilities:

Partner with business partners to design, develop and deploy solutions that enable hyper-personalized interactions.
Create features and develop models beyond standard toolset libraries to meet unique business challenges.
Build evaluation frameworks to measure LLMs efficacy, ground truth dataset quality.
Interpret and communicate findings and insights from the data and models to business partners. Clear communication without technical jargon is important to success.
Minimum Requirements:
Master of Science Degree in Applied Mathematics, Statistics, Computer Science, or related field required. PhD desired.
5+ years professional experience.
Experience with NLP, LLMs, deep learning and working with typical data used in such models preferred.
Proficiency in one or more programming languages (Python, R, Scala), and hands-on experience in popular deep learning frameworks like TensorFlow or PyTorch.
Familiarity with cloud computing platforms and distributed systems for large-scale data processing.
Candidates that live within in a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday.

Company Recognition:
100 Best Workplaces for Millennials in 2022, published Fortune July 2022.
2022 Fortune Best Workplaces for Women, published September 2022.
2022 Fortune's 100 Best Companies to Work For, published April 2022.
2022 Best Places to Work For LGBTQ+ Equality, Great Place to Work® in partnership with Human Rights Campaign Foundation, published Equity Magazine January 2022.
Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.

At Edward Jones, we value and respect our associates and their contributions, and we recognize individual efforts through a rewards program that promotes a long-term career, financial security and well-being. Visit our career site to learn more about our total compensation approach, which in addition to base salary, typically includes benefits, bonuses and profit sharing. The salary range for this role is based on national data and actual pay is based on skills, experience, education, and other relevant factors for a potential new associate:

Salary: $92,984 - $158,325

Category: Headquarters
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