As part of Citi’s Financial Crimes and Fraud Prevention - Modeling and Data organization, this role leverages advanced machine learning tools and data mining techniques to identify and combat fraud. A key focus of the role is on data and feature engineering; transforming raw and complex datasets into optimized inputs for developing high-performance fraud models. The role will be responsible for developing and implementing sophisticated fraud models aimed at preventing and mitigating fraud risks across the full fraud lifecycle including application fraud, synthetic ID fraud, account takeover, and evolving fraud attack methods.The ideal candidate will bring a strong technical background in data processing, feature engineering, and data manipulation, playing a pivotal role in enabling the development of effective and scalable fraud models. The role requires expertise in extracting and engineering key features from large datasets, ensuring that models are not only accurate but also resilient against emerging fraud patterns.The role will work closely with technology teams, fraud analytics, and various business partners to stay informed about business and technology shifts, identifying both potential and existing fraud impacts. Technical proficiency in model optimization, algorithm development, and real-time analytics is essential for enhancing fraud prevention efforts.ResponsibilitiesLead data and feature engineering efforts to extract, transform, and prepare high-quality data inputs for fraud model development, focusing on identifying key attributes that drive accurate fraud detection.Build predictive models and machine-learning and AI algorithms with large amounts of structured and unstructured data. Ownership and management of fraud models, risk appetite execution and defect analysis.Design, develop, and implement advanced machine learning models to detect and prevent fraud across the entire lifecycle, including application fraud, synthetic ID fraud, account takeover, and evolving attack schemes.Utilize advanced data processing techniques to manage large, complex datasets, including data cleaning, normalization, and augmentation, ensuring robust model performance.Conduct comprehensive exploratory data analysis (EDA) to uncover hidden patterns, trends, and anomalies that can inform model development and feature engineering.Collaborate closely with technology teams, fraud analytics, and business partners to align on data strategies, stay updated on industry trends, and proactively identify potential and existing fraud risks.Continuously optimize and refine fraud models through feature selection, hyperparameter tuning, and ongoing performance monitoring, ensuring models remain adaptive to new fraud tactics.Support model deployment and integration into production systems, ensuring seamless real-time fraud detection and efficient feedback loops for continuous model improvement.Evaluate and select appropriate machine learning algorithms and tools based on specific fraud detection needs and data characteristics.Engage in cross-functional initiatives to enhance data quality and governance, improving overall fraud prevention capabilities.Participate in model validation and testing processes to ensure compliance with regulatory standards and alignment with best practices in fraud risk management.Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.Qualifications:Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master's Degree or PhD preferred.5+ years in data science, machine learning, or advanced analytics.Experience with Generative AI and LLM, preferredStrong Technical Skills:Proficiency in programming languages such as Python, R, or SQL for data manipulation, feature engineering, and model development.Strong experience with data processing tools and libraries (e.g., Pandas, Numpy, PySpark) for handling large and complex datasets.Deep understanding of machine learning algorithms (e.g., decision trees, gradient boosting, neural networks, natural language processing) and statistical modeling techniques used for fraud detectionExpertise in feature engineering, including creating, selecting, and refining features to improve model accuracy and performance.Data Engineering: Experience with building and optimizing data pipelines, ETL professes, and real-time data streaming for fraud detection solutions.Machine Learning Operations: Familiarity with model development, monitoring, and versioning in production environments.Analytics Skills: Strong ability to conduct exploratory data analysis (EDA) and identify actionable insights from large datasets to drive model development.Collaboration: Proven track record of working cross-functionally with technology, analytics, and business teams to implement and optimize fraud prevention strategies.Communication: Ability to translate complex technical findings into clear, actionable insights for non-technical stakeholders and business leaders.Problem-Solving: Strong problem-solving skills with the ability to think critically and creatively in a fast-paced environment.Regulatory Compliance: Familiarity with regulatory requirements and best practices related to fraud modeling and risk management.Multi-Tasking and Deadline Management: Demonstrated ability to manage multiple projects and priorities simultaneously while meeting tight deadlines.Attention to Detail: High level of attention to detail and precision in data analysis, model development, and reporting.Intellectual Curiosity: Strong intellectual curiosity and eagerness to stay updated with the latest developments in data science, machine learning, and fraud detection techniques.------------------------------------------------------Job Family Group: Decision Management------------------------------------------------------Job Family:Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------Time Type:Full time------------------------------------------------------Primary Location:Wilmington Delaware United States------------------------------------------------------Primary Location Full Time Salary Range:$138,720.00 - $208,080.00In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.------------------------------------------------------Anticipated Posting Close Date:Oct 28, 2024------------------------------------------------------Citi is an equal opportunity and affirmative action employer.Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View the "EEO is the Law" poster. View the EEO is the Law Supplement.View the EEO Policy Statement.View the Pay Transparency Posting

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. YOUR ROLE This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position. BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems. EXPERIENCE: At least 4 years experience in a hands-on, in-the-weeds data science position. You will develop deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue. You will play a pivotal role in the growth of our data science team. You will be an instrumental resource as we build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners. This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company's products. This role will be responsible for strategically planning Machine Learning initiatives with the Product, Engineering, Performance, and Business Intelligence teams, analyzing potential impact, and prioritizing those projects. SUCCESS LOOKS LIKE <ul> <li>Innovate, create, and design ML solutions to various business problems such as: </li><li>Design, implement, and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB tests. </li><li>Utilizing Large Language Models in content personalization across various verticals. </li><li>Recommendation systems to serve ads, offers, questions, etc. </li><li>Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring. </li><li>Provide data science support at different project stages, including implementing ML solutions by collaborating with Data Engineers and MLOps. </li><li>Being hands-on and in-the-weeds in the data, coding part of the solution implementation. </li></ul>WHAT YOU NEED TO SUCCEED <ul> <li>4+ years of related work experience in Data Science & Machine learning. </li><li>2+ years of experience in the Marketing/Advertising Industry. </li><li>Solid background in Machine Learning and Statistics. </li><li>Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems. </li><li>Proficiency in SQL and Python, as well as working with data science tools (e.g., git, Kubernetes, Docker, etc.). </li><li>Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals. </li><li>Experience creating ML solutions within cloud services (AWS/GCP). </li><li>Experience with ML model development lifecycle. </li><li>Experience with data visualization (preferably Looker). </li><li>Experience managing a team of data scientists and machine learning researchers (including career development). </li><li>Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders. </li></ul>NICE TO HAVES <ul> <li>Experience with LLMs and Deep learning models to develop business and data science solutions directly impacting revenue and/or margin. </li></ul> Total Rewards & Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to make your impact in a profitable, high-growth company? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

CAPITAL Services is offering a Data Scientist Internship for the summer of 2025!

Under the direction of our Analysts and Data Scientists, a Data Scientist Intern will work primarily in the following areas: risk analysis, model and strategy development, model validation, and MIS reporting. The intern will get a variety of training opportunities to build their skills for statistical analysis and business intelligence. The data scientist internship will run for 12 weeks beginning in May 2025 and is located onsite in Sioux Falls, SD.

Qualifications:
Junior level or higher in Mathematics, Statistics, or a related discipline with at least a 3.0 GPA.
Attention to detail and self-motivated.
Excellent verbal and written communication skills.
Authorized to work in the United States on a permanent basis.
Preferences:     Familiar with software such as R, SQL, and SAS.
Considering graduate studies in statistics or related field.
Successful completion of an analytics project.

At CAPITAL, we are committed to connecting people with convenient purchasing power for life's needs. We value using data to make strategic decisions that drive our business forward. This unique approach is what sets us apart and enables us to better serve our employees, customers and clients each day. Are you looking for a company who strategically uses data in all aspects of their business? We invite you to apply, by clicking on the on the apply button above and using the navigational buttons to complete the application process.

Data Scientist - Python Intern Location US-IL-Oak Brook | US-SD-Sioux Falls | US-PA-New Holland | US-IL-Goodfield ID 2024-26360 Category Intern and Co-op Position Type Intern Overview CNH Industrial is a world-class equipment and services company. Driven by its purpose of Breaking New Ground, which centers on Innovation, Sustainability and Productivity, the Company provides the strategic direction, R&D capabilities, and investments that enable the success of its five core Brands: Case IH, New Holland Agriculture and STEYR, supplying 360 agriculture applications from machines to implements and the digital technologies that enhance them; and CASE and New Holland Construction Equipment delivering a full lineup of construction products that make the industry more productive. Across a history spanning over two centuries, CNH Industrial has always been a pioneer in its sectors and continues to passionately innovate and drive customer efficiency and success, driven by its purpose of Breaking New Ground. As a truly global company, CNH Industrial's 35,000 employees form part of a diverse and inclusive workplace, focused on empowering customers to grow, and build, a better world. Responsibilities Summary The PTPV DataOps team is a multi-functional team consisting of Software Engineers, Data Scientists, Data Engineers, and Electrical Engineers who are building a data platform based on Python and Azure to support precision technology product development at CNH. Our mission is to empower Product Validation teams to reliably collect data and draw actionable, data-driven insights that are focused on the customer. Responsibilities Using python, process agricultural machine CAN data to develop product performance dashboards (PowerBI) related to active firmware releases Train machine learning models using python that will benefit active firmware releases Perform exploratory analysis using python to support test engineers in their investigations Qualifications Qualifications Pursuing a minimum a Bachelor's Degree in Engineering, Data Science, Computer Science, or related field This position will pay between $20.50-$35/hour. Perks of being a CNH Industrial Intern/College Co-op We're excited that you're considering an Internship or College Co-op with CNH Industrial CNH provides our Interns and Co-ops with experiences that will help develop them into well-rounded professionals. Check out some of the benefits that will build an experience, not just a job: Competitive pay Networking opportunities with other interns Local volunteer opportunities Professional development opportunities hosted by current employees Furnished subsidized housing (for qualified internship/co-ops only) Company Benefits CNH Industrial offers a wide variety of benefits that not only encourages wellness and preventive care, but we also provide the right tools and programs to help you achieve it. Our benefits package includes medical, dental, vision, disability, and life insurance. Our industry leading 401k will support you in meeting your retirement objectives. Additional benefits include paid parental leave, flexible work policies, opportunities for self-development and paid leave for specific activities. Click here for more information EEO US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "EEO is the Law" poster and its supplement here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here. If you need reasonable accommodation with the application process, please contact us at narecruitingmailboxcnhind.com. Read about our company's commitment to pay transparency by clicking this link: pay transparency notice. Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, colour, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation. Need help finding the right job? We can recommend jobs specifically for you Click here to get started.

The Machine Learning/Data Scientist is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. This position is responsible for managing decision and prediction models using artificial intelligence methods/platforms.Responsibilities:* Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements* Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards* Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint* Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation* Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals* Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions* Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary* Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Qualifications:* 6-10 years of relevant experience in Apps Development or systems analysis role* A candidate is keen to work on various tools and technologies for successful implementation of ML models on different platforms.* Build out the machine learning and data infrastructure to ensure smooth, continuous operation of the major ML models* Experience with traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.* Provide thought leadership for all data solution that includes designing, developing and implementing solutions that meet and exceed expectations.* Have extensively worked on databases (SQL, PostGre, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark* Hands on experience on designing and developing Data pipelines for Data ingestion or Transformation using Python (Pyspark)/Spark SQL, Impala* Experience in building and optimizing 'big data' pipelines, architecture and datasets.* Able to develop and maintain API interfaces with Third party data vendors, experience in Pivotal Cloud foundry (PCF), OpenShift, BlueData, Kafka, Docker tools, AWS, AppDynamics, CI/CD processes etc. would be an added advantage* Extensive experience system analysis and in programming of software applications* Experience in managing and implementing successful projects* Subject Matter Expert (SME) in at least one area of Applications Development* Ability to adjust priorities quickly as circumstances dictate* Demonstrated leadership and project management skills* Consistently demonstrates clear and concise written and verbal communicationEducation:* Bachelor's degree/University degree or equivalent experience* Master's degree preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.* -----------------------------------------------------Job Family Group:Technology* -----------------------------------------------------Job Family:Applications Development* -----------------------------------------------------Time Type:Full time* -----------------------------------------------------Primary Location:Jacksonville Florida United States* -----------------------------------------------------Primary Location Full Time Salary Range:$113,840.00 - $170,760.00In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.* -----------------------------------------------------Anticipated Posting Close Date:Nov 08, 2024* -----------------------------------------------------Citi is an equal opportunity and affirmative action employer.Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View the "EEO is the Law" poster. View the EEO is the Law Supplement.View the EEO Policy Statement.View the Pay Transparency Posting

Client Management Interns support the client team in managing client relationships, ensuring client needs are met, and enhancing client satisfaction. The intern will assist in developing and implementing client success plans, meeting preparation, coordinating cross-functional team support, and organizing client meetings and follow-ups. The role requires effective communication skills, attention to detail, and the ability to work both independently and collaboratively. *Internship details:* <ul><li>The internship will begin January 13, 2025</li><li>This internship will be based in the Detroit Metro area</li><li>20-25 hours/week work dedication during the semester and up to 40/week during breaks and summer</li><li>Anticipated graduation date between December 2025 - December 2026</li><li>Applicants for this internship position with Acxiom in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Acxiom (i.e., H1-B visa, F-1 visa (CPT/OPT), TN visa or any other non-immigrant status)</li></ul>What you will do:<ul><li>Collaborate with the client success team to develop and implement client success plans</li><li>Monitor client satisfaction and proactively address any issues or concerns.</li><li>Preparation for internal and external meetings.</li><li>Support the team in organizing and conducting client meetings and follow-ups.</li><li>Help to identify opportunities for improving client services and processes.</li><li>Maintain accurate and up-to-date client meeting artifacts and documentation.</li><li>Assist in managing client relationships and ensuring needs are met.</li><li>Research projects on relevant industry news, trends, products, services, competitors, and relevant existing and emerging technologies that may impact present and future account performance.</li><li>This role will partner with the Client Partners for the GM and other accounts to support data consulting with our clients:</li><li>Leverage education and experience in data visualization to support data-driven storytelling initiatives across the tower focusing on GM as a first priority.</li><li>Leverage Acxiom’s data and data available through established partnerships with brands like Equifax, Polk and Commerce Signals to develop opportunities for creating high-value audiences and other models.</li><li>Help coordinate and prepare for activities designed to build, test and perfect data solution</li><li>Work directly with account team as well as the Acxiom data teams.</li></ul>What you will need:<ul><li>Currently pursuing a degree in Business, Marketing, Communications, or a related field.</li><li>Strong interpersonal and communication skills.</li><li>Ability to work independently and as part of a team.</li><li>Detail-oriented with excellent organizational skills.</li><li>Proficiency in Microsoft Office Suite and CRM software is a plus.</li></ul>Who are we seeking?<ul><li>Top Talent & High Performers: We hire the brightest in the industry!</li><li>Innovative Collaborators: We drive operational improvements to promote efficiency and improve performance.</li><li>Future Leaders: We develop our people and promote from within.</li><li>Game Changers: We empower people to challenge the status quo and explore new possibilities.</li><li>Emotional Intelligence: We cultivate greatness both within ourselves and with others.</li><li>Hardworking Employees: We look for initiative to conquer complex challenges.</li></ul>We believe in building an exciting workplace where associates feel highly motivated and want to engage every single day. It’s important to Acxiom that we invest in our culture and promote a healthy work-life balance. Acxiom has a fast paced, high-performance culture where we empower our people to do innovative, ground breaking work. You will always be guided to do what is right. Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected Primary Location City/State: 
Homebased - Conway, Arkansas Additional Locations (if applicable):Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City , Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .

Data Scientist Jobs in Sioux Falls, SD

Data Scientist Lead Analyst
December 10, 2024

Senior Data Scientist Performance Marketing
December 9, 2024

Data Scientist Intern
December 7, 2024

Data Scientist Python Intern
December 6, 2024

Vp Product Manager Machine Learningdata Scientist Apps Dev Tech Lead Analyst
December 2, 2024

Intern Data Scientist Spring Detroit Metro
November 27, 2024

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Data Scientist Jobs in Sioux Falls, SD

Data Scientist Lead AnalystDecember 10, 2024

Senior Data Scientist Performance MarketingDecember 9, 2024

Data Scientist InternDecember 7, 2024

Data Scientist Python InternDecember 6, 2024

Vp Product Manager Machine Learningdata Scientist Apps Dev Tech Lead AnalystDecember 2, 2024

Intern Data Scientist Spring Detroit MetroNovember 27, 2024