Cox Communications is looking for a Lead Data Scientist to join the Data Science team supporting Cox Business. This role will be responsible for designing and implementing advanced analytics along with managing third-party data scientists. PRIMARY RESPONSIBILITIES AND ESSENTIAL FUNCTIONS : Design, implement, test, prototype, and deploy ML (machine learning), DL (deep learning), AI (artificial intelligence), and NLP (natural language processing) applications to extract value from Cox Communications structured and unstructured data assets. Develop and maintain robust data pipelines to support ML/AI workflows, including data ingestion, preprocessing, transformation, and feature engineering from various data sources. Perform end-to-end statistical analyses, from problem definition through data extraction, transformation, and insight generation. Conduct ad-hoc analyses to meet specific and emerging business needs. Collaborate with team members to address complex, previously unresolved challenges and improve data flow and processing efficiency. Leverage insights and experience from past projects to support decision making and challenge assumptions from diverse perspectives. Assist with or lead development of industry whitepapers and other technical publications. Guide junior team members in Data Science and support contractors and third-party data scientists during the ML modeling process. Identify and implement opportunities for automation in data processing, feature extraction, and ML workflows to drive knowledge discovery, decision making, insights, optimization, and new capabilities. Develop frameworks and apply best practices to mature analytics and data engineering solutions from proof of concept to production. Prepare documentation, reports, and visualizations to communicate findings effectively and ensure knowledge transfer. Continuously evaluate and integrate new technologies, tools, and data sources to enhance data infrastructure, storage, and processing capabilities. QUALIFICATIONS AND EXPERIENCE: Bachelor's degree in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, Analytics or a related discipline, and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience; or 18 years' experience in a related field 5 years of experience in advanced analytics roles, including ML, AI, NLP, research, predictive analytics, and similar areas. Strong programming skills (5 years of experience) and proficiency in various data/analytic software, languages, and tools, including Spark (Spark SQL), R (caret, ggplot2), Python (pandas, numpy, scipy, scikitlearn, VennAbers, Mapie), Scala, Java, C++, Hive, SQL, Tableau, and others. Expertise in machine learning and deep learning frameworks such as TensorFlow, Keras, Caffe, MXNet, and Pytorch, with a focus on developing complex programs, custom algorithms, and optimized model performance. Extensive practical knowledge in: Cloud computing; Jira; GitHub; and production processes in cloud. Experience developing, implementing, maintaining ML/AI solutions, and managing end-to-end data pipelines using cloud-native tools in AWS, with specific expertise in SageMaker for model training and deployment, Athena for querying large datasets, S3 for data storage and management, and EMR for big data distributed processing. Experience in designing end-to-end ML pipelines, including data ingestion, ETL, feature engineering, and model deployment. Experience with Hadoop and big data clusters for high volume data handling, transformation, and ETL optimization Experience in implementing MLOps practices to ensure efficient model deployment, monitoring, and lifecycle management, facilitating collaboration between data science and operational teams. Deep understanding of the mathematical and computational concepts behind advanced analytics algorithms. Strong communication skills, with the ability to translate complex analytics into actionable business insights and communicate effectively within diverse teams. A curious mindset focused on innovation and continuous learning to drive data and analytics improvements. Preferred: 5 years of programming experience in Python, PySpark, and SQL for scalable data processing, with expertise in building and optimizing data pipelines from raw data ingestion through model deployment. Practical experience in Generative AI techniques (e.g., large language models, GANs) applied to transaction reduction, customer experience, and predictive analytics. Experience in data visualization using tools like Tableau, Power BI, or Plotly to convert data into actionable insights, supporting industry specific applications in telecommunications, cable, high tech, and consulting sectors. USD 117,300.00 - 195,500.00 per year Compensation: Compensation includes a base salary of $117,300.00 - $195,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, parental leave, and COVID-19 vaccination leave. About Cox Communications Cox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications today About Cox Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Cox Communications is looking for a Lead Data Scientist to join the Data Science team supporting Cox Business. This role will be responsible for designing and implementing advanced analytics along with managing third-party data scientists. PRIMARY RESPONSIBILITIES AND ESSENTIAL FUNCTIONS: <ol><li>Design, implement, test, prototype, and deploy ML (machine learning), DL (deep learning), AI (artificial intelligence), and NLP (natural language processing) applications to extract value from Cox Communications structured and unstructured data assets. </li><li>Develop and maintain robust data pipelines to support ML/AI workflows, including data ingestion, preprocessing, transformation, and feature engineering from various data sources. </li><li>Perform end-to-end statistical analyses, from problem definition through data extraction, transformation, and insight generation. </li><li>Conduct ad-hoc analyses to meet specific and emerging business needs. </li><li>Collaborate with team members to address complex, previously unresolved challenges and improve data flow and processing efficiency. </li><li>Leverage insights and experience from past projects to support decision making and challenge assumptions from diverse perspectives. </li><li>Assist with or lead development of industry whitepapers and other technical publications. </li><li>Guide junior team members in Data Science and support contractors and third-party data scientists during the ML modeling process. </li><li>Identify and implement opportunities for automation in data processing, feature extraction, and ML workflows to drive knowledge discovery, decision making, insights, optimization, and new capabilities. </li><li>Develop frameworks and apply best practices to mature analytics and data engineering solutions from proof of concept to production. </li><li>Prepare documentation, reports, and visualizations to communicate findings effectively and ensure knowledge transfer. </li><li>Continuously evaluate and integrate new technologies, tools, and data sources to enhance data infrastructure, storage, and processing capabilities. </li> </ol> QUALIFICATIONS AND EXPERIENCE: <ol><li>Bachelor's degree in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, Analytics or a related discipline, and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience; or 18 years' experience in a related field. </li><li>5+ years of experience in advanced analytics roles, including ML, AI, NLP, research, predictive analytics, and similar areas. </li><li>Strong programming skills (5+ years of experience) and proficiency in various data/analytic software, languages, and tools, including Spark (Spark SQL), R (caret, ggplot2), Python (pandas, numpy, scipy, scikitlearn, VennAbers, Mapie), Scala, Java, C++, Hive, SQL, Tableau, and others. </li><li>Expertise in machine learning and deep learning frameworks such as TensorFlow, Keras, Caffe, MXNet, and Pytorch, with a focus on developing complex programs, custom algorithms, and optimized model performance. </li><li>Extensive practical knowledge in: Cloud computing; Jira; GitHub; and production processes in cloud. </li><li>Experience developing, implementing, maintaining ML/AI solutions, and managing end-to-end data pipelines using cloud-native tools in AWS, with specific expertise in SageMaker for model training and deployment, Athena for querying large datasets, S3 for data storage and management, and EMR for big data distributed processing. </li><li>Experience in designing end-to-end ML pipelines, including data ingestion, ETL, feature engineering, and model deployment. </li><li>Experience with Hadoop and big data clusters for high volume data handling, transformation, and ETL optimization. </li><li>Experience in implementing MLOps practices to ensure efficient model deployment, monitoring, and lifecycle management, facilitating collaboration between data science and operational teams. </li><li>Deep understanding of the mathematical and computational concepts behind advanced analytics algorithms. </li><li>Strong communication skills, with the ability to translate complex analytics into actionable business insights and communicate effectively within diverse teams. </li><li>A curious mindset focused on innovation and continuous learning to drive data and analytics improvements. </li> </ol> Preferred: <ol><li>5+ years of programming experience in Python, PySpark, and SQL for scalable data processing, with expertise in building and optimizing data pipelines from raw data ingestion through model deployment. </li><li>Practical experience in Generative AI techniques (e.g., large language models, GANs) applied to transaction reduction, customer experience, and predictive analytics. </li><li>Experience in data visualization using tools like Tableau, Power BI, or Plotly to convert data into actionable insights, supporting industry specific applications in telecommunications, cable, high tech, and consulting sectors. </li> </ol> Compensation: USD 117,300.00 - 195,500.00 per year Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, parental leave, and COVID-19 vaccination leave. About Cox Communications: Cox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications today! About Cox: Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Equal Employment Opportunity: Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.#J-18808-Ljbffr

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.

The Staff Data Scientist will translate business problems and opportunities into data science projects. Conduct data analysis and build machine learning models for internal and client-facing applications. Present findings to key stakeholders. Deploy Data Scientist, Data Science, Scientist, Computer Science, Business Analytics, Business Operations, Technology

The Data Scientist will conduct data analysis and build machine learning models for internal and client-facing applications. This position will work closely with software development to provide valuable insight to improve business operations. RESPONS Data Scientist, Scientist, Computer Science, Data Science, Business Analytics, Business Operations, Technology

The Data Scientist will conduct data analysis and build machine learning models for internal and client-facing applications. This position will work closely with software development to provide valuable insight to improve business operations. RESPONS Data Scientist, Scientist, Computer Science, Data Science, Business Analytics, Business Operations, Technology

The Staff Data Scientist will translate business problems and opportunities into data science projects. Conduct data analysis and build machine learning models for internal and client-facing applications. Present findings to key stakeholders. Deploy Data Scientist, Data Science, Scientist, Computer Science, Business Analytics, Business Operations, Technology

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 .

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Data Scientist Jobs in Edmond, OK

Lead Data ScientistDecember 15, 2024

Lead Data ScientistDecember 14, 2024

Senior Data Scientist Performance MarketingDecember 9, 2024

Sr Data ScientistDecember 8, 2024

Sr Data ScientistDecember 3, 2024

Data ScientistDecember 3, 2024

Data ScientistDecember 1, 2024

Data ScientistNovember 29, 2024

Sr Data ScientistNovember 29, 2024

Intern Data Scientist Spring Detroit MetroNovember 27, 2024