Job Description Job Summary Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI technologies to derive insights from large datasets and create predictive models that drive business decisions. Job Duties Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making. Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities. RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs. Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications. Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling. AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness. Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies. Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. Mentors, coaches, and provides guidance to newer data scientists. Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. Use a broad range of tools and techniques to extract insights from current industry or sector trends Job Qualifications REQUIRED EDUCATION: Masters Degree in Computer Science, Data Science, Statistics, or a related field REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES: 6+ years work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered Knowledge of big data technologies (e.g., Hadoop, Spark) Familiar with relational database concepts, and SDLC concepts Demonstrate critical thinking and the ability to bring order to unstructured problems Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks. Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations. RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs. Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics. Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively. Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges. PREFERRED EDUCATION: PHD or additional experience PREFERRED EXPERIENCE: Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models. Familiarity with natural language processing (NLP) and computer vision techniques. #PJCorp #LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $97,299 - $227,679 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. <h5 class="jobOverviewSubtitle">Required </h5> <h5 class="jobOverviewSubtitle">Preferred </h5> <h5 class="jobOverviewSubtitle">Job Industries </h5><ul> <li>Other </li> </ul>

OverviewThe Customer Success (CS) Services Analytics team has an exciting opportunity to improve customer experiences through quality assurance, leveraging machine learning and conversational AI on Audio, Video and Speech Data. We are seeking an exceptional Principal Data Scientist, Quality of Service Analytics to analyze speech, audio, and video data collected through interactions between our customers and experts and develop new quality of service markers that can be used to evaluate quality for each and every interaction between our experts and customers. The ideal candidate has experience applying machine learning and statistical modeling to extract insights from large datasets of recorded calls, chats, video sessions. This is an exciting opportunity to transform the quality of service and help improve customer experience across the business. If youre analytically-minded with expertise in speech/audio analysis and an interest in driving service excellence, this could be an exciting role for you.What you'll bringPrior experience working in a call center environment . Knowledge of call center technologies - things like phone systems, CRM software, call recording systems, etc.10+ years experience building ML models utilizing audio, speech, and video data - strong signal processing, ML/DL and NLP foundations are needed along with hands-on expertise using Python audio/speech libraries (SpeechRecognition, Librosa, PyDub, PyTorch etc.)Experience with machine learning and deep learning models for audio, speech and NLP tasks. Knowledge of techniques like Recurrent Neural Networks, Transformers etc.Ability to manipulate and process large, complex multimedia datasetsStrong communication and presentation skills to executive audiencesMS or PhD in Computer Science, Statistics, Math or related field preferredHow you will leadWork cross-functionally with our Partners, Quality Management, and service delivery teams to understand key business challenges and objectives and build tech driven models and insights to address themDevelop and implement natural language processing (NLP) models using large language models (LLMs) like GPT-3 to analyze call center conversation transcripts and identify key themes, topics, and sentimentLeverage audio analysis techniques like vocal analysis, and acoustic modeling to extract insights from customer service phone callsApply computer vision techniques like facial recognition and emotion detection to analyze video recordings of customer service interactionsContinuously monitor and enhance existing models to ensure accuracy and precision over time as data patterns change.Clearly communicate analytical insights and model results to key stakeholders through reports, presentations, and visualization tools.Stay up-to-date on the latest techniques and research in speech analytics, audio analysis, NLP, and computer vision as applied to contact center use cases.Continuously monitor model performance and retrain models as needed based on changes in data patterns.Develop interactive dashboards and visualizations to track service quality KPIs and insights over timeEOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Summary The position is responsible for providing technical expertise aggregating, collating, and analyzing data from databases including, but not limited to, the development, implementation and updating of data extraction queries, data mining and, developing strategies, action plans, data queries modification and maintenance, quality control and validation of collected data. The position works as part of a study team and contributes to the design for advanced data systems. Responsibilities Duties and responsibilities include, but are not limited to: Serves as a Data Analyst with the responsibility for the storage, retrieval and execution of data acquisition requirements and assisting other Agency professionals and contractors in solving complex and far-reaching problems for a wide range of systems, applications, and customers. Generates and manages datasets from the VA's Corporate Data Warehouse (a national data repository for VA) using SQL, R, SAS, SPSS, STATA and VINCI Issues include data interface and storage, and require application of data management principles, procedures, and tools such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes. Constructs data pipelines using tools and techniques to handle data at scale. Supports projects developed by investigators focusing on enterprise analytics. Demonstrates the ability to utilize diverse data science techniques including data pooling and visualizations and can demonstrate how ensembles of these techniques can be harmonized into user-centric solutions. Researches and designs presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling where appropriate. Collaborates with teammates, customers, and stakeholders in a reproducible and organized manner. Conducts observational analysis using software and/or programming languages such as R, Python, Stata, SAS, or SQL to explore/group data, test hypotheses, predict outcomes, and inform decisions. Uses appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data such as probabilistic matching and imputation of missing values. Collates the results of analysis that equip teammates to make informed, data-driven decisions. Articulates findings through data visualization, reports, and operationalized constructs. Presents the results of quantitative analysis to technical and non-technical audiences. Participates on teams in the development, implementation, and oversight of new technologies and statistical methods related to data science. Follows recommendations in support of IT security plans to ensure compliance with Agency security requirements specific to data. Works with senior member of team in the collecting, optimizing, analyzing, interpreting, and communicating insights from data. Follows internal and external process or system reviews, studies, projects, and data validation efforts, which provide a mean for evaluating system performance and vulnerabilities. Accesses, merges, cleans, standardizes, and develops derived metrics on multiple structured datasets; has familiarity with appropriate software and automation tools. Regularly provides analytical support to Data Scientists and/or supervisor in support of conference needs. Attends meetings, conferences, briefings, and seminars related to data science, and statistical and analysis support system concepts. Assists in consolidating research finding and conclusions into completed products for review by the investigative teams, and subsequent publication and or oral presentations to interagency and both internal and external stakeholders. Work Schedule: Monday through Friday, 8:00am-4:30pm Telework: Not Available Virtual: This is not a virtual position. Functional Statement #: 000000 Relocation/Recruitment Incentives: Not Authorized Permanent Change of Station (PCS): Not Authorized Requirements Conditions of Employment You must be a U.S. Citizen to apply for this job. Selective Service Registration is required for males born after 12/31/1959. Must be proficient in written and spoken English. You may be required to serve a probationary period. Subject to background/security investigation. Selected applicants will be required to complete an online onboarding process. Participation in the seasonal influenza vaccination program is a requirement for all Department of Veterans Affairs Health Care Personnel (HCP). Participation in the Coronavirus Disease 2019 (COVID-19) vaccination program is a requirement for all Veterans Health Administration Health Care Personnel (HCP) - See "Additional Information" below for details. Qualifications Time-In-Grade Requirement: Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. For a GS-09 position you must have served 52 weeks at the GS-07. For a GS-11 position you must have served 52 weeks at the GS-09. The grade may have been in any occupation, but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. If the most recent SF-50 has an effective date within the past year, it may not clearly demonstrate you possess one-year time-in-grade, as required by the announcement. In this instance, you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade. Note: Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment. NOTE: Applicants must meet both the Individual Occupation Requirements (IOR) and the Specialized Experience as stated for the grade levels as listed below. Basic Requirements (IOR): A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. AND Specialized Experience: To qualify for the grade level GS-09: Applicants must have one year of specialized experience equivalent to at least the next lower grade (GS-07) or a comparable pay band in federal or other service that demonstrates the particular competencies necessary to perform the work of this position, and that is typically in or related to the position to be filled. Specialized experience for this position is defined as: Providing technical expertise aggregating, collating, and analyzing data from databases including, but not limited to, the development, implementation and updating of data extraction queries, data mining and, developing strategies, action plans, data queries modification and maintenance, quality control and validation of collected data. Generating and managing datasets, using SQL, R, SAS, SPSS, STATA and VINCI. OR Education Substitution for grade level GS-09: Applicants may substitute education for experience with an awarded master's or equivalent graduate degree (such as an LL. B or J.D.) from an accredited college or university, or two full years (36 semester hours or 54 quarter hours) of progressively higher-level graduate education leading to such a degree. This graduate degree must meet the IOR with a degree Mathematics, statistics, computer science, data science or field of study directly related to the position. OR Applicants may combine education and experience to qualify for grade GS-09. If you have some, but not all, of the graduate education described above AND less than one full year of the specialized experience described above, you may qualify by combining the amount of creditable education and experience that you do have. Only graduate education in excess of the amount required for the next lower grade level may be used to qualify applicants for positions, and per the IOR this education must contain courses equivalent to a major field of study as appropriate for the position, at grade GS-09. If you are claiming to qualify based on your education, your application must include an official or unofficial copy of graduate level transcripts that demonstrate this information. To qualify for the grade level GS-11: Applicants must have one year of specialized experience equivalent to at least the next lower grade (GS-09) or a comparable pay band in federal or other service that demonstrates the particular competencies necessary to perform the work of this position, and that is typically in or related to the position to be filled. Specialized experience for this position is defined as: Providing technical expertise aggregating, collating, and analyzing data from databases including, but not limited to, the development, implementation and updating of data extraction queries, data mining and, developing strategies, action plans, data queries modification and maintenance, quality control and validation of collected data. Generating and managing datasets, using SQL, R, SAS, SPSS, STATA and VINCI. OR Education Substitution for grade level GS-11: Applicants may substitute education for experience with an awarded master's or equivalent graduate degree (such as an LL. B or J.D.) from an accredited college or university. This graduate degree must meet the IOR with a degree Mathematics, statistics, computer science, data science or field of study directly related to the position. OR Applicants may substitute a combination of graduate education and specialized experience to qualify for grade GS-11. If you have some, but not all, of the graduate education described above AND less than one full year of the specialized experience described above, you may qualify by combining the amount of creditable education and experience that you do have. Only graduate education in excess of the amount required for the next lower grade level may be used to qualify applicants for positions, and per the IOR this education must contain courses equivalent to a major field of study as appropriate for the position, at grade GS-11. An unofficial or official copy of your transcripts must be submitted with your application if you are basing all or part of your qualifications on education. Preferred Experience: Conducts observational analysis using software and/or programming languages such as R, Python, Stata, SAS, or SQL to explore/group data, test hypotheses, predict outcomes, and inform decisions. Works with large datasets. Serves as a Data Analyst with the responsibility for the storage, retrieval and execution of data acquisition requirements and assisting other Agency professionals and contractors in solving complex and far-reaching problems for a wide range of systems, applications, and customers. Issues include data interface and storage, and require application of data management principles, procedures, and tools such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes. The position requires knowledge of principle and concepts of managing data through its life cycle. Use of data science tools to execute duties is gained from education and experience; these duties including programming, statistics, and data visualization. Constructs data pipelines using tools and techniques to handle data at scale. Support projects developed by investigators focusing on enterprise analytics. Examples of data accessed include health data, demographic data, administrative data, claims data, programmatic data, and patient behavior, provider activities, economic indicators, and expenditure data. The full performance level of this vacancy is GS-12. The actual grade at which an applicant may be selected for this vacancy is in the range of GS-09 to GS-11. Physical Requirements: The work is primarily sedentary and does not require any special physical effort. For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/. Education IMPORTANT: A transcript must be submitted with your application if you are basing all or part of your qualifications on education. Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/. Additional Information Receiving Service Credit or Earning Annual (Vacation) Leave: Federal Employees earn annual leave at a rate (4, 6 or 8 hours per pay period) which is based on the number of years they have served as a Federal employee. Selected applicants may qualify for credit toward annual leave accrual, based on prior work experience or military service experience. This credited service can be used in determining the rate at which they earn annual leave. Such credit must be requested and approved prior to the appointment date and is not guaranteed. During the application process you may have an option to opt-in to make your resume available to hiring managers in the agency who have similar positions. Opting in does not impact your application for this announcement, nor does it guarantee further consideration for additional positions. This job opportunity announcement may be used to fill additional vacancies. This position is in the Excepted Service and does not confer competitive status. VA encourages persons with disabilities to apply. The health-related positions in VA are covered by Title 38, and are not covered by the Schedule A excepted appointment authority. Pursuant to VHA Directive 1193.01, VHA health care personnel (HCP) are required to be fully vaccinated against COVID-19 subject to such accommodations as required by law (i.e., medical, religious or pregnancy). VHA HCPs do not include remote workers who only infrequently enter VHA locations. If selected, you will be required to be fully vaccinated against COVID-19 and submit documentation of proof of vaccination before your start date. The agency will provide additional information regarding what information or documentation will be needed and how you can request a legally required accommodation from this requirement using the reasonable accommodation process. If you are unable to apply online or need an alternate method to submit documents, please reach out to the Agency Contact listed in this Job Opportunity Announcement. Under the Fair Chance to Compete Act, the Department of Veterans Affairs prohibits requesting an applicant's criminal history prior to accepting a tentative job offer. For more information about the Act and the complaint process, visit Human Resources and Administration/Operations, Security, and Preparedness (HRA/OSP) at The Fair Chance Act.

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.

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 Tucson, AZ

Sr Data Scientist Mlaidatabricks Remote
December 20, 2024

Principal Data Scientist Quality Of Service Analytics
December 19, 2024

Data Scientist
December 13, 2024

Data Scientist
December 7, 2024

Senior Data Scientist Performance Marketing
November 29, 2024

Intern Data Scientist Spring Detroit Metro
November 27, 2024

Quick filters

Top companies

Data Scientist Jobs in Tucson, AZ

Sr Data Scientist Mlaidatabricks RemoteDecember 20, 2024

Principal Data Scientist Quality Of Service AnalyticsDecember 19, 2024

Data ScientistDecember 13, 2024

Data ScientistDecember 7, 2024

Senior Data Scientist Performance MarketingNovember 29, 2024

Intern Data Scientist Spring Detroit MetroNovember 27, 2024