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.

Job Description ** Johnson Service Group (JSG) is a nationally recognized professional staffing and recruiting firm that is looking for an experienced Data Scientist to fill a three- year assignment in the Atlanta, GA area. This position may require some bending, lifting, climbing, prolonged sitting, prolonged walking, walking on gravel or crawling when necessary. Please send me your resume to lmccarron@jsginc.com . Rates: $35.00 - $45.00 per hour Per diem is available if you qualify. Candidates with 2-3 years of professional experience after BS degree or a Masters degree with 1-2 years of experience. Preferred majors in Statistics, Engineering, Computer Science/Engineering, and Mathematics. This assignment can be fully remote, and candidates can be located in the EST and CST time zones. Hybrid candidates are preferred but not required. Professional experience in the natural gas, energy, or finance industry are preferred. Seeking a highly skilled professional who uses data analysis and machine learning techniques to extract valuable insights and make data-driven decisions. Data Cleaning: Preprocess and clean data to remove inconsistencies, missing values, and utliers to ensure data quality. Exploratory Data Analysis (EDA): Conduct exploratory data analysis to understand the characteristics and patterns within the data. Machine Learning Modeling: Develop and implement machine learning models to solve specific business problems, such as classification, regression, clustering, and recommendation systems. Model Evaluation: Assess the performance of machine learning models using various evaluation metrics and fine-tune them for optimal results. Data Visualization: Create clear and informative data visualizations and reports to communicate findings to non-technical stakeholders. Predictive Analytics: Use statistical and machine learning techniques to make predictions and forecast future trends. Statistical Analysis: Apply statistical methods to analyze data and test hypotheses. A/B Testing: Design and conduct A/B tests to evaluate the impact of changes and optimizations. Data Integration: Integrate data science solutions into existing software systems and workflows. Data Security: Ensure data privacy and security by implementing appropriate measures. Documentation: Maintain clear and organized documentation of data analysis processes, models, and findings. Proficiency in programming languages such as Python or R is essential. Data Tools: Familiarity with data analysis and machine learning libraries and frameworks, such as Pandas, NumPy, Scikit Learn, TensorFlow, or PyTorch. Understanding of SQL and experience working with relational databases. Strong statistical knowledge and the ability to apply statistical techniques to real-world problems. Machine Learning: Expertise in machine learning algorithms and techniques, including supervised and unsupervised learning. Data Visualization JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law. #D650

Job Description ** Johnson Service Group (JSG) is a nationally recognized professional staffing and recruiting firm that is looking for an experienced Data Scientist to fill a three- year assignment in the Atlanta, GA area. This position may require some bending, lifting, climbing, prolonged sitting, prolonged walking, walking on gravel or crawling when necessary. Please send me your resume to <div class="anchor-hijack" style="display: inline"><a href="mailto:lmccarron@jsginc.com"> lmccarron@jsginc.com </a></div> . Rates: $35.00 - $45.00 per hour Per diem is available if you qualify. Candidates with 2-3 years of professional experience after BS degree or a Masters degree with 1-2 years of experience. Preferred majors in Statistics, Engineering, Computer Science/Engineering, and Mathematics. This assignment can be fully remote, and candidates can be located in the EST and CST time zones. Hybrid candidates are preferred but not required. Professional experience in the natural gas, energy, or finance industry are preferred. Seeking a highly skilled professional who uses data analysis and machine learning techniques to extract valuable insights and make data-driven decisions. Data Cleaning: Preprocess and clean data to remove inconsistencies, missing values, and utliers to ensure data quality. Exploratory Data Analysis (EDA): Conduct exploratory data analysis to understand the characteristics and patterns within the data. Machine Learning Modeling: Develop and implement machine learning models to solve specific business problems, such as classification, regression, clustering, and recommendation systems. Model Evaluation: Assess the performance of machine learning models using various evaluation metrics and fine-tune them for optimal results. Data Visualization: Create clear and informative data visualizations and reports to communicate findings to non-technical stakeholders. Predictive Analytics: Use statistical and machine learning techniques to make predictions and forecast future trends. Statistical Analysis: Apply statistical methods to analyze data and test hypotheses. A/B Testing: Design and conduct A/B tests to evaluate the impact of changes and optimizations. Data Integration: Integrate data science solutions into existing software systems and workflows. Data Security: Ensure data privacy and security by implementing appropriate measures. Documentation: Maintain clear and organized documentation of data analysis processes, models, and findings. Proficiency in programming languages such as Python or R is essential. Data Tools: Familiarity with data analysis and machine learning libraries and frameworks, such as Pandas, NumPy, Scikit Learn, TensorFlow, or PyTorch. Understanding of SQL and experience working with relational databases. Strong statistical knowledge and the ability to apply statistical techniques to real-world problems. Machine Learning: Expertise in machine learning algorithms and techniques, including supervised and unsupervised learning. Data Visualization JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law. #D650

Secureworks® (NASDAQ: SCWX) a global cybersecurity leader, enables our customers and partners to outpace and outmaneuver adversaries with more precision, so they can rapidly adapt and respond to market forces to meet their business needs. With a unique combination of cloud-native, SaaS security platform and intelligence-driven security solutions, informed by 20+ years of threat intelligence and research, no other security platform is grounded and informed with this much real-world experience. www.secureworks.com

We enjoy competitive compensation and benefits packages, and reward and recognize our employees for exceptional results. A constant focus on continued learning and growth keeps our team members engaged and excited about “what’s next.” We offer flexible work options when available, and emphasize the importance of work-life balance. We know that when our people are rewarded, recognized, and rejuvenated, we win as a team.

Role Overview
We are looking for a Data Scientist who will support our product, sales, customer retention, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization, and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods and data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Your resiliency, adaptability and business acumen are all keys to your success.

Responsibilities
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data to drive optimization and improvement of sales process, marketing techniques, customer retention, product development, and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Analyze large amounts of information to discover trends and patterns.
Use predictive modeling and machine-learning algorithms to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Propose solutions and strategies to business challenges, coordinate with different functional teams to implement findings and monitor outcomes.
Develop automated processes to monitor and analyze model performance and data accuracy.
Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience
Assist with data governance to maintain data quality

Requirements
5+ years of experience manipulating data sets and building statistical models. BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
Strong problem-solving skills with an emphasis on ideal customer profile and customer retention.
Excellent written and verbal communication skills for coordinating across teams; Analytical mind and strong business acumen.
Experience leading and collaborating with cross-functional team to drive changes in various business areas.
Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc. and knowledge of their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, A/B testing, statistical tests and proper usage, etc.) and experience with applications.

Preferred Skills
In-depth knowledge about SaaS business model
Experience with Tableau reporting a plus

Secureworks is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Secureworks are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Secureworks will not tolerate discrimination or harassment based on any of these characteristics.
Job ID: R245195

Role: Data Scientist Location: Marietta GA Position Purpose This is a data science/engineering role with responsibility of executing data science initiatives that drive business profitability, increased efficiencies, and improved customer experience. This individual must be a technologist & data Scientist at heart and be comfortable in enabling new technology and being hands on with the execution of the strategy. She/he must exhibit a deep understanding of modern technology stack and agile delivery models, demonstrated focus on customer experience, and must have a proven track record of modernizing technologies. We are seeking an experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, artificial intelligence, and cloud technologies. Experience in core search algorithms and techniques like Auto complete,LTR, Entity recognition, and vector search is definitely an added advantage. In this role, you will work closely with cross-functional teams to drive insights and recommendations to inform business decisions. Responsibilities <ul> <li>You'll work on the GPC's Data Science team collaborating with data scientists, AI/ML engineers and product managers to build and augment our AI-driven digital Catalog products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll leverage Python, Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution. </li> <li>Reviews business context for solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution. </li> <li>Understand and follow Agile principles, best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. </li> <li>Initiate both group and one-on-one meetings with senior management in order to gain a clear understanding of business drivers and functional requirements. </li> </ul>Requirements <ul> <li>10+ years' experience in software engineering, Data Science & technology </li> <li>MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields </li> <li>Experience designing and developing deep learning, machine learning, optimization, and statistical models. </li> <li>Strong hands-on programming skills in Python. Knowledge of SQL, Spark/equivalent. </li> <li>Expertise running queries against data (preferably with Google BigQuery or SQL) </li> <li>Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, Search or NLP </li> <li>Demonstrated mastery in predictive modeling, data mining and data analysis. </li> <li>Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems. </li> <li>Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required and a passion for solving interesting and relevant real-world problems using Data science approach. </li> <li>Experience in designing and running A/B Tests and analyze the Key Metrics </li> <li>Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure). </li> </ul>

Data Scientist Jobs in Marietta, GA

Lead Data Scientist
December 19, 2024

Lead Data Scientist
December 15, 2024

Data Scientist
December 7, 2024

Data Scientist
December 7, 2024

Principal Data Scientist Secureworks Atlanta Ga Or Remote Us
December 4, 2024

Data Scientist
December 3, 2024

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Data Scientist Jobs in Marietta, GA

Lead Data ScientistDecember 19, 2024

Lead Data ScientistDecember 15, 2024

Data ScientistDecember 7, 2024

Data ScientistDecember 7, 2024

Principal Data Scientist Secureworks Atlanta Ga Or Remote UsDecember 4, 2024

Data ScientistDecember 3, 2024

Quick filters

Top companies

Lead Data Scientist
December 19, 2024

Lead Data Scientist
December 15, 2024

Data Scientist
December 7, 2024

Data Scientist
December 7, 2024

Principal Data Scientist Secureworks Atlanta Ga Or Remote Us
December 4, 2024

Data Scientist
December 3, 2024