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. 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 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. Leverage large scale data processing such as Spark, Hive, and off-the-shelf systems. Conduct original analyses to advise and influence product, engineering, and operations efforts. Communicate findings to stakeholders in a clear and concise way. Partner with business stakeholders to understand their needs and translate those needs into data-driven solutions. Develop and implement machine learning (ML) models to extract insights from data. Analyze large datasets to identify trends, anomalies, and opportunities for improvement. Participate in the development of data pipelines to ensure the quality and availability of data for analysis. Stay up-to-date on the latest data science trends and technologies. Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations. Propose and implement innovative solutions and best practices. What you will need A master's in Statistics, Computer Science, Math, Physics or a related field. 2 years of relevant professional work experience in a data science or similar role. Proven experience applying machine learning and statistical modeling techniques to solve real-world problems. Strong programming skills in Python or R. Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment. Proven familiarity with code and programming concepts. Added bonus if you have Typical qualifications for the role are 5 years of relevant professional experience or a combination of work experience and advanced education. A PhD in Statistics, Computer Science, Math, Physics or a related field. Proven ability to self-direct your technical work and scope projects effectively. Experience as a data scientist at a company with global operations. Experience leading and mentoring junior engineers. Excellent communication and collaboration skills to influence both technical and non-technical stakeholders. Familiarity with statistical analysis, forecasting techniques, and data modeling. Familiarity with financial concepts or fintech software. A strong understanding of security best practices for building enterprise applications. What we offer you At FIS, we hire the best. In return, you receive exceptional benefits including: Opportunities to innovate in fintech. Tools for personal and professional growth. Inclusive and diverse work environment. Resources to invest in your community. Competitive salary and benefits. 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 by 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. 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. J-18808-Ljbffr

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. 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
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.
Leverage large scale data processing such as Spark, Hive, and off-the-shelf systems.
Conduct original analyses to advise and influence product, engineering, and operations efforts. Communicate findings to stakeholders in a clear and concise way.
Partner with business stakeholders to understand their needs and translate those needs into data-driven solutions.
Develop and implement machine learning (ML) models to extract insights from data.
Analyze large datasets to identify trends, anomalies, and opportunities for improvement.
Participate in the development of data pipelines to ensure the quality and availability of data for analysis.
Stay up-to-date on the latest data science trends and technologies.
Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations.
Propose and implement innovative solutions and best practices.
What you will need
A master's in Statistics, Computer Science, Math, Physics or a related field.
2+ years of relevant professional work experience in a data science or similar role.
Proven experience applying machine learning and statistical modeling techniques to solve real-world problems.
Strong programming skills in Python or R.
Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
Proven familiarity with code and programming concepts.
Added bonus if you have
Typical qualifications for the role are 5+ years of relevant professional experience or a combination of work experience and advanced education.
A PhD in Statistics, Computer Science, Math, Physics or a related field.
Proven ability to self-direct your technical work and scope projects effectively.
Experience as a data scientist at a company with global operations.
Experience leading and mentoring junior engineers.
Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.
Familiarity with statistical analysis, forecasting techniques, and data modeling.
Familiarity with financial concepts or fintech software.
A strong understanding of security best practices for building enterprise applications.
What we offer you
At FIS, we hire the best. In return, you receive exceptional benefits including:
Opportunities to innovate in fintech.
Tools for personal and professional growth.
Inclusive and diverse work environment.
Resources to invest in your community.
Competitive salary and benefits.
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 by 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.
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.

#J-18808-Ljbffr

Job Description Responsibilities Contribute to all data science aspects of products, ranging from data streams to machine learning, from observability to product strategy Help build state-of-the-art, robust, efficient, and observable statistical and machine learning models Develop large-scale data pipelines using off-the-shelf data tools, optimizing for quality and performance Identify trends, anomalies, and opportunities, providing actionable insights Clearly communicate findings and insights to data scientists and other cross-functional stakeholders Requirements Masters in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field 4 years of experience in a data science role or similar Proven experience applying machine learning and statistical modeling techniques to a range of real-world problems Good programming skills in Python, SQL, with familiarity in coding concepts and version control via git Excellent communication and cross-functional collaboration skills, thriving in fast-paced environments Preferred Qualifications PhD in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field 6 years of experience in a data science role or similar Familiarity with neural network (Keras, TensorFlow, PyTorch) frameworks Published state-of-the-art research in recognized journals and conference talks Familiarity with payment networks, banking systems, and fintech software Familiarity with feature stores, machine learning model governance, model monitoring, A/B testing, and champion/challenger setups Familiarity with real-time data processing (Kafka, Flink, Azure Stream, Spark), and cloud-based technologies (AWS, Azure, GCP) What We Offer At FIS, we hire the best. In return, you'll receive: Opportunities to innovate in fintech Tools for personal and professional growth An inclusive and diverse work environment Resources to invest in your community Competitive salary and benefits 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

Job Description Responsibilities Demonstrate ownership across all data science aspects of products, ranging from data streams to machine learning, from observability to product strategy Architect and help build state-of-the-art, robust, efficient, and observable statistical and machine learning models Develop large-scale data pipelines using off-the-shelf data tools to optimize quality and performance Create frameworks to identify trends, anomalies, and opportunities, providing actionable insights for product, engineering, and operations teams Collaborate with business stakeholders to understand their needs and translate them into data-driven solutions Clearly communicate findings and insights to cross-functional stakeholders, and drive roadmap Stay current with the latest trends and technologies in data science, machine learning and artificial intelligence, and communicate internally Help junior scientists grow via technical leadership and mentorship Requirements PhD in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field 8 years of experience in a data science role or similar Proven experience applying machine learning and statistical modeling techniques to a range of real-world problems Strong programming skills in Python, SQL, with familiarity in coding concepts and version control via git Expertise in traditional machine learning and neural network (Keras, TensorFlow, PyTorch) frameworks Proven experience leading and mentoring junior data scientists, and establishing a high bar for technical excellence Excellent communication and cross-functional collaboration skills, thriving in fast-paced environments Proficiency with feature stores, machine learning model governance, model monitoring, A/B testing, and champion/challenger setups Experience with real-time data processing (Kafka, Flink, Azure Stream, Spark), and cloud-based technologies (AWS, Azure, GCP) Preferred Qualifications Published state-of-the-art research in recognized journals and conference talks Familiarity with payment networks, banking systems, and fintech software What We Offer At FIS, we hire the best. In return, you'll receive: Opportunities to innovate in fintech Tools for personal and professional growth An inclusive and diverse work environment Resources to invest in your community Competitive salary and benefits FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $189,100.00 - $317,690.00 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

Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Doctor of Philosophy Travel Percentage : 0% Job Description Responsibilities Demonstrate ownership across all data science aspects of products, ranging from data streams to machine learning, from observability to product strategy Architect and help build state-of-the-art, robust, efficient, and observable statistical and machine learning models Develop large-scale data pipelines using off-the-shelf data tools to optimize quality and performance Create frameworks to identify trends, anomalies, and opportunities, providing actionable insights for product, engineering, and operations teams Collaborate with business stakeholders to understand their needs and translate them into data-driven solutions Clearly communicate findings and insights to cross-functional stakeholders, and drive roadmap Stay current with the latest trends and technologies in data science, machine learning and artificial intelligence, and communicate internally Help junior scientists grow via technical leadership and mentorship Requirements PhD in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field 8 years of experience in a data science role or similar Proven experience applying machine learning and statistical modeling techniques to a range of real-world problems Strong programming skills in Python, SQL, with familiarity in coding concepts and version control via git Expertise in traditional machine learning and neural network (Keras, TensorFlow, PyTorch) frameworks Proven experience leading and mentoring junior data scientists, and establishing a high bar for technical excellence Excellent communication and cross-functional collaboration skills, thriving in fast-paced environments Proficiency with feature stores, machine learning model governance, model monitoring, A/B testing, and champion/challenger setups Experience with real-time data processing (Kafka, Flink, Azure Stream, Spark), and cloud-based technologies (AWS, Azure, GCP) Preferred Qualifications Published state-of-the-art research in recognized journals and conference talks Familiarity with payment networks, banking systems, and fintech software What We Offer At FIS, we hire the best. In return, you'll receive: Opportunities to innovate in fintech Tools for personal and professional growth An inclusive and diverse work environment Resources to invest in your community Competitive salary and benefits FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $189,100.00 - $317,690.00 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

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 ROLE We are looking for a Senior Data Scientist II 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 Employ machine learning and statistical modeling to create and enhance data driven products Analyze and extract insights from internal and external data Work with Big Data and transform complex datasets into more usable formats Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL Work independently and collaborate with other groups to solve complex problems Create and present analyses to internal and external partners and clients Document models and write code to track and monitor models and product performance Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs Other related duties assigned as needed WHAT YOU WILL NEED Master's or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience 5 years of relevant professional work experience in a data science or similar role. Proficient in data science tools and programming languages such as Python, R, Scala, SQL, and SAS. Exceptional statistical, mathematical, and analytical skills Superior interpersonal, communication, and presentation skills Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis ADDED BONUS IF YOU HAVE Fintech Experience. Experience or knowledge of cloud-based technology. Knowledge of the financial services industry. Ability to collaborate with others and solve complex problem. Excellent analytical, decision-making, problem-solving, team, and time management skills. Ability to persuade and influence others on the best approach. Positive outlook, strong work ethic, and responsive to internal and external clients and contacts. Ability to interface with all levels of employees and effectively interact with various functional areas and facilities. Ability to establish and maintain effective working relationships with employees, management, and clients. What we offer you: At FIS, you can learn, grow and make an impact in your career. Our benefits include: Flexible and creative work environment Diverse and collaborative atmosphere Professional and personal development resources Opportunities to volunteer and support charities Competitive salary and benefits 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

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Data Scientist Fis global Jobs

Senior Data Scientist IDecember 15, 2024

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Senior Data Scientist IiNovember 23, 2024