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:

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.

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!

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.

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Overview
 
 
Our CECL (Current Expected Credit Loss) Quantitative Modeling Team operates at the heart of the Lending Business unit, building accurate credit loss forecasting models through advanced statistical technique, and playing a pivotal role in ensuring the financial stability of Navy Federal Credit Union by informing CU leaders the right level of credit reserve recommendations. Our team’s primary responsibility is to develop and implement advanced quantitative models that enable accurate assessments of potential credit losses across our lending portfolio.
 
 
The Summer Associate will work in a flexible hybrid manner and report to leadership at our Vienna, VA campus. Responsibilities will include analyzing data and participating in activities related to quantitative modeling. As part of the team, you will have the chance to work on real-world projects, collaborate with seasoned professionals, and contribute to impactful initiatives. You’ll gain exposure to quantitative modeling techniques commonly employed by nation’s largest financial institutions, and learn analytical skills applied to large financial data.
 
 
Potential projects include following.
 
 
Develop models to test and evaluate different modeling techniques
 
Investigating and analyzing potential model performance-improving independent variables
 
Analyzing model performance and understanding the cause of prediction errors
 
Finding potential performance-improving changes to the existing models
 
Model sensitivity analysis
 
Analyzing portfolio shifting and its impacts
 
Economic research relating to portfolio performance
 
Automating modeling related activities using R or Python
 
 
The Summer Associate Program is a 12-week internship program beginning in May 2025 and ending in August 2025. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2025 or later.
 
 
Responsibilities
 
 
Perform data pull from source data systems and prepare data for analysis or model development
 
Analyze data to understand its impact on model performance
 
Participate in model development, model execution and model monitoring related activities
 
Work with experienced modeling professionals within the team to support various initiatives
 
Perform other ad hoc analysis
 
Prepare reports of analytical findings
 
 
Qualifications
 
 
Currently pursuing a master’s or PhD degree in a quantitative field like statistics, computer science, data science, quantitative finance, or economics
 
Experience with research, analysis, and data manipulation
 
Experience using programming and analytic tools such as: Python, R, SQL, or Tableau
 
Strong problem-solving, critical, and analytical thinking skills
 
Good communication and presentation skills
 
Comfort working with large datasets and understand the basic database concepts
 
Ability to work independently and think outside of the box
 
Basic knowledge of financial services/payments a plus
 
 
About Us
 
 
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
 
 
• Best Companies for Latinos to Work for 2024
 
 
• Computerworld® Best Places to Work in IT
 
 
• Forbes® 2024 America's Best Large Employers
 
 
• Forbes® 2023 The Best Employers for New Grads
 
 
• Fortune Best Workplaces for Millennials™ 2023
 
 
• Fortune Best Workplaces for Women ™ 2023
 
 
• Fortune 100 Best Companies to Work For® 2024
 
 
• Military Times 2023 Best for Vets Employers
 
 
• Newsweek Most Loved Workplaces
 
 
• Ripplematch Campus Forward Award - Excellence in Early Career Hiring
 
 
• Yello and WayUp Top 100 Internship Programs
 
 
From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
 
 
Equal Employment Opportunity: Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability EOE/AA/M/F/Veteran/Disability
 
 
Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.
 
 
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position
 
 
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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 Pensacola, FL

Lead Data ScientistDecember 15, 2024

Lead Data ScientistDecember 13, 2024

Summer Associate Internship Data Scientist Lending AnalyticsDecember 8, 2024