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. 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. J-18808-Ljbffr

SYNERGISTICIT is aware that the Job Market is Challenging due to almost 300,000 Tech Layoffs within the past year due to which The Job market is flooded with thousands of laid off Techies who are competing with existing Jobseekers. For entry level Job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients.

Since 2010 we have helped Jobseekers differentiate themselves by providing the clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers. All Positions are open for all visas and US citizens

We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed.

Clients have now the option to hire remote workers from anywhere so for a Jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates

We also offer optionally Skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then you should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours.

If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

Candidates who Lack Experience or are freshers with No actual on Job experience with projects with clients Have had a break in careers Lack Technical Competency or skills being demanded by clients Different visa candidates (Like OPT/H4EAD/L2EAD )who want to get employed and settle down in the USA please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/

We are also silver sponsors at Oracle Cloudworld , Las vegas from sept 18-21st- please visit us

https://www.oracle.com/cloudworld/sponsor-listing/#synergistic-it

Watch the below videos of us participating at Industry events with the Top companies in Technology at Oracle Cloud world /Oracle Java one (Las vegas) and at Gartner Data Analytics Summit (Florida)

Oracle CloudWorld Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube https://www.youtube.com/watch?v=OAFOhcGy9Z8

https://www.youtube.com/watch?v=EmO7NrWHkLM https://www.youtube.com/watch?v=NVBU9RYZ6UI

https://www.youtube.com/watch?v=Yy74yvjatVg SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube

If you have relevant skills and industry experience, please apply

For preparing for interviews please visit

https://www.synergisticit.com/interview-questions/

REQUIRED SKILLS For Java /Software Programmers
•Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
•Highly motivated, self-learner, and technically inquisitive
•Experience in programming language Java and understanding of the software development life cycle
•Project work on the skills
•Knowledge of Core Java , javascript , C++ or software programming
•Spring boot, Microservices, Docker, Jenkins and REST API's experience
•Excellent written and verbal communication skills

For data Science/Machine learning

REQUIRED SKILLS
•Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
•Project work on the technologies needed
•Highly motivated, self-learner, and technically inquisitive
•Experience in programming language Java and understanding of the software development life cycle
•Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
•Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis

Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can optionally opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates

please only apply to the posting

No phone calls please. Shortlisted candidates would be reached out.

Are you passionate about coding or technology and ready to make your mark in tech? For more than 14 years, SynergisticIT has been helping aspiring developers like you excel in the tech industry. We focus on equipping you with the skills and experience needed to not only secure a job but to thrive in your career! Why Partner with SynergisticIT?<ul> <li>Customized inputs to achieve the desired output :designed with industry needs in mind, ensuring you're equipped with the most sought-after skills.</li> <li>Exclusive Opportunities: Our extensive network allows you to connect with leading tech firms. </li> <li>Outstanding Outcomes: Many of our candidates land multiple job offers, often with starting salaries of $100k or more!</li> </ul> Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Who Should Apply? We're looking for recent grads in Mathematics, Statistics , Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey! Preferred SKILLS For Java /Full stack/Devops Positions Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java , javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant experience can research our Job Placement Programs which can assist in landing a Job If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates Embrace Your Future! We also assist with F1 OPT to transition into H1B and Green Card byproviding comprehensive support. All positions are open to candidates of all visa types and US citizens. Are you ready to make an impact?

Data Scientist Jobs in Chula Vista, CA

Lead Data Scientist
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Lead Data Scientist
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Remote Data Scientistanalyst Entryjunior Level
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Entry Level Java Spring Boot Developer Data Scientist
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Data Scientist Jobs in Chula Vista, CA

Lead Data ScientistDecember 19, 2024

Lead Data ScientistDecember 16, 2024

Remote Data Scientistanalyst Entryjunior LevelDecember 8, 2024