Company Summary:DISH, an EchoStar Company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building Americas First Smart Network.Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.Department Summary:Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.Job Duties and Responsibilities:We are looking for a skilled and experiencedData Scientistwho excels in applying classical machine learning, deep learning and statistical modeling to solve data science problems. The ideal candidate will have the ability to translate complex business problems into data science problems and architect data science-based solutions. As a Data Scientist, you will play a crucial role in leading and mentoring junior data scientists, while collaborating with cross-functional teams to drive data-driven decision-making and solve challenging business problems.Primary Responsibilities:Apply classical machine learning algorithms and statistical models to solve complex business problems and generate actionable insightsDesign, develop, and implement data science solutions, including feature engineering, model development, and evaluationArchitect scalable and efficient data pipelines for data preprocessing, feature extraction, and model trainingConduct exploratory data analysis (EDA) to understand data characteristics, identify patterns, and gain insights into data quality and availabilityMentor and lead junior data scientists, providing technical guidance and fostering their growth and developmentCommunicate complex analytical concepts and findings to both technical and non-technical stakeholders in a clear and concise mannerStay updated with the latest advancements in machine learning algorithms, tools, and techniquesSkills, Experience and Requirements:Education and Experience:Bachelors or Masters degree in a quantitative field such as Mathematics, Statistics, Computer Science, or related disciplinesMinimum of 2 years of experience in data science, with a focus on classical machine learning and exploratory data analysisSkills and Qualifications:Proficiency in classical machine learning algorithms, statistical models, and their practical applicationStrong programming skills in languages such as Python or R for data manipulation, model development, and evaluationSolid understanding of data preprocessing techniques, feature engineering, and model evaluation methodsExperience in designing and implementing scalable data pipelines for preprocessing, feature extraction, and model trainingStrong problem-solving and analytical skills, with the ability to think critically and creativelyBenefits:We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities and a flexible time away plan; all benefits can be viewed here: DISH Benefits.The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.This will be posted for a minimum of 3 days or until the position is filled.Salary Range:USD $72400.00 - $118900.00 / Year#J-18808-Ljbffrby Jobble

Company SummaryDISH, an EchoStar Company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building Americas First Smart Network.Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.Department SummaryBeyond connecting customers to their favorite entertainment, our Video Services teams, powering DISH TV and Sling TV, deliver an award-winning TV experience to millions of customers. These dynamic teams are unwavering in their commitment to continuous innovation, ensuring the evolution of their products and the constant enhancement of the overall customer experience.Job Duties and ResponsibilitiesAs a Voice of Customer (VOC) Analyst, you will own the management and reporting of Slings VOC metrics and relevant operational metrics. Youll identify and connect data insights with customer pain points while collaborating with the rest of the VOC team to help build impactful data-driven stories. Youll deepen the companys empathy for customers by ensuring appropriate measures, processes, and tools are in place to drive an industry-leading customer experience.An ideal candidate is an expert in data analysis with a deep understanding of querying, synthesizing, and linking data to key VOC metrics to deliver insights on customer behavior and overall experience. Youll have opportunities to explore new tools to enrich the analytics process and we expect you to continue advancing your skills as you mature on the team. The ability to think critically, be proactive, and take initiative to track down customer issues is an essential function of the role. Ultimately, we want someone who gets excited when collecting, analyzing, and interpreting customer feedback data to deliver actionable insights and improve our customer experience.Key Responsibilities:Analytical thinking and problem-solving:Analyzing customer data to derive insights, identify pain points, and opportunities for improvement, provide intelligence to business partners, and implement scorecards to embed CX data across the company. Planning and conducting high-quality, in-depth quantitative and qualitative customer research efforts.Own Sling NPS OSAT, CSAT & other related customer experience data points; be intimately familiar with the customer experience - what works, what doesnt, and what we need to prioritize.Work with other VOC team members to provide voice of the customer insights and feedback to internal business partners, and establish a clear understanding of how to use this data in order to improve the experience.Connect customer feedback to operational metrics in order to define business impact.Track deviations in VOC metrics to understand how different changes across the business impact customer perception/happiness with the brand.Create detailed, comprehensive, and well-structured reporting documents (in Google slides, sheets, or docs) that will allow CX data to be democratized across the organization.Develop and maintain customer feedback dashboards and VOC insight reports to track trends, sentiment, and customer satisfaction metrics.Develop and maintan topic model for unstructured feedback.Spend time researching new data science techniques, VOC best practices, survey research, and development to improve CX modeling capabilities.Develop and maintain a thorough understanding of trends in the paid TV industry.Skills, Experience and RequirementsSkills and Qualifications:Keen attention to detail and organization; the ability to manage and execute multiple delivery engagements simultaneouslyHistory of excellent, positive teamwork; proactive collaboration; and highly effective problem-resolution skills.Practical experience generating process documentation and reportsAbility to thrive in a fast-paced, rapidly changing, and highly dynamic environmentAbility to interact with and communicate effectively with a large spectrum of different stakeholders, including IT personnel, senior business executives, and technology vendorsProven experience in collecting, analyzing, and interpreting customer feedback data across non-standardized data sources to drive insights and improvements in customer experienceHave experience working with data from CX reporting tools such as Qualtrics (Engage and Discover), Medallia, Tableau, Sprinklr, Pypestream, etc.Capability to communicate complex ideas effectively including the ability to transform raw data into actionable insights and share these results with team members who may not have an extensive background in statisticsExperience with quantitative techniques, across the spectrum of diagnostic statistical analysis and predictive/prescriptive approachesPreferred Qualifications:Proficiency in statistical analysis, data modeling, and data visualization; programming languages such as Python, R, and SQL are highly preferredFamiliar with customer experience data in an omnichannel setting, with exposure to emergent technologies and platforms that enable these workstreamsExperience with supervised and unsupervised machine learning algorithms and quantitative modeling techniques, across the spectrum of diagnostic statistical analysis and predictive/prescriptive approachesDegree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, or equivalent practical experience. A Masters degree with solid hands-on work and consulting experience is a plusSalary RangesCompensation: $88,000.00/Year - $103,000.00/YearBenefitsWe offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities and a flexible time away plan; all benefits can be viewed here: DISH Benefits.The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.This will be posted for a minimum of 3 days or until the position is filled.#J-18808-Ljbffrby Jobble

**Company Summary** DISH, an EchoStar Company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building Americas First Smart Network. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile. **Department Summary** Beyond connecting customers to their favorite entertainment, our Video Services teams, powering DISH TV and Sling TV, deliver an award-winning TV experience to millions of customers. These dynamic teams are unwavering in their commitment to continuous innovation, ensuring the evolution of their products and the constant enhancement of the overall customer experience. **Job Duties and Responsibilities** As a Voice of Customer (VOC) Analyst, you will own the management and reporting of Slings VOC metrics and relevant operational metrics. Youll identify and connect data insights with customer pain points while collaborating with the rest of the VOC team to help build impactful data-driven stories. Youll deepen the companys empathy for customers by ensuring appropriate measures, processes, and tools are in place to drive an industry-leading customer experience. An ideal candidate is an expert in data analysis with a deep understanding of querying, synthesizing, and linking data to key VOC metrics to deliver insights on customer behavior and overall experience. Youll have opportunities to explore new tools to enrich the analytics process and we expect you to continue advancing your skills as you mature on the team. The ability to think critically, be proactive, and take initiative to track down customer issues is an essential function of the role. Ultimately, we want someone who gets excited when collecting, analyzing, and interpreting customer feedback data to deliver actionable insights and improve our customer experience. **Key Responsibilities:** + Analytical thinking and problem-solving: Analyzing customer data to derive insights, identify pain points, and opportunities for improvement, provide intelligence to business partners, and implement scorecards to embed CX data across the company. Planning and conducting high-quality, in-depth quantitative and qualitative customer research efforts. + Own Sling NPS OSAT, CSAT & other related customer experience data points; be intimately familiar with the customer experience - what works, what doesnt, and what we need to prioritize. + Work with other VOC team members to provide voice of the customer insights and feedback to internal business partners, and establish a clear understanding of how to use this data in order to improve the experience. + Connect customer feedback to operational metrics in order to define business impact. + Track deviations in VOC metrics to understand how different changes across the business impact customer perception/happiness with the brand. + Create detailed, comprehensive, and well-structured reporting documents (in Google slides, sheets, or docs) that will allow CX data to be democratized across the organization. + Develop and maintain customer feedback dashboards and VOC insight reports to track trends, sentiment, and customer satisfaction metrics. + Develop and maintan topic model for unstructured feedback. + Spend time researching new data science techniques, VOC best practices, survey research, and development to improve CX modeling capabilities. + Develop and maintain a thorough understanding of trends in the paid TV industry. **Skills, Experience and Requirements** **Skills and Qualifications:** + Keen attention to detail and organization; the ability to manage and execute multiple delivery engagements simultaneously + History of excellent, positive teamwork; proactive collaboration; and highly effective problem-resolution skills. + Practical experience generating process documentation and reports + Ability to thrive in a fast-paced, rapidly changing, and highly dynamic environment + Ability to interact with and communicate effectively with a large spectrum of different stakeholders, including IT personnel, senior business executives, and technology vendors + Proven experience in collecting, analyzing, and interpreting customer feedback data across non-standardized data sources to drive insights and improvements in customer experience + Have experience working with data from CX reporting tools such as Qualtrics (Engage and Discover), Medallia, Tableau, Sprinklr, Pypestream, etc. + Capability to communicate complex ideas effectively including the ability to transform raw data into actionable insights and share these results with team members who may not have an extensive background in statistics + Experience with quantitative techniques, across the spectrum of diagnostic statistical analysis and predictive/prescriptive approaches **Preferred Qualifications:** + Proficiency in statistical analysis, data modeling, and data visualization; programming languages such as Python, R, and SQL are highly preferred + Familiar with customer experience data in an omnichannel setting, with exposure to emergent technologies and platforms that enable these workstreams + Experience with supervised and unsupervised machine learning algorithms and quantitative modeling techniques, across the spectrum of diagnostic statistical analysis and predictive/prescriptive approaches + Degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, or equivalent practical experience. A Masters degree with solid hands-on work and consulting experience is a plus **Salary Ranges** Compensation: $88,000.00/Year - $103,000.00/Year **Benefits** We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities and a flexible time away plan; all benefits can be viewed here: DISH Benefits . The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. This will be posted for a minimum of 3 days or until the position is filled.We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer - Veteran/Disability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We are a true merit-based organization and work hard so there are no artificial barriers to one's potential success. DISH is committed to a workforce where everyone's opportunities are limitless. Consistent with this commitment, DISH will endeavor to provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to the employee or others, or is otherwise not required by law.

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