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Data Science Manager Jobs

Company

eHealth

Address , Remote
Employment type FULL_TIME
Salary $140,000 - $175,000 a year
Expires 2023-07-21
Posted at 11 months ago
Job Description
Get your career started at eHealth
eHealthInsurance has many exciting career opportunities in a number of locations, across various functions. Come join us today!
At eHealth we are passionate about expertly guiding consumers through their health insurance and related options, when, where and how they prefer. We are seeking an exceptional Data Science Manager to join our growing team, which is developing cutting-edge machine learning products and solutions to drive better and faster decision making within our company and to better serve our customers. This is a fast-paced, collaborative, and iterative environment requiring quick learning, agility, and flexibility.
Responsibilities
  • Be hands-on in all aspects of the project lifecycle from requirements gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science products.
  • Work with business partners in product, business, and engineering to identify opportunities for innovation.
  • Develop and implement online and offline testing to test hypothesis
  • Spearhead strategic product insights by investigating patterns of user engagement and behavior via exploratory analysis, including assessing trends, funnels, and user flows.
  • Establish the mission and vision of your data science team, and develop innovative ML solutions for challenging business problems in the areas of call center optimization, NLP, search ranking, etc.
  • Work closely with engineers and product managers to productionize ML solutions.
  • Help foster a culture of supporting business needs when needed by providing data-driven insights
  • Meet with executives to explain data science solutions, analysis results and make recommendations for business problems.
  • Hire and mentor a team of data scientists through feedback, coaching, and technical guidance
Qualifications:
  • 5+ years of industry experience in data science or ML which includes building predictive or descriptive models and designing the associated metrics to evaluate these models.
  • Experience with A/B and multivariate experimentation design and evaluation, ranking and recommendation systems.
  • Experience with ML frameworks, such as Scikit-learn, Spark ML, Tensorflow, PyTorch, etc.
  • Proficiency in SQL, experience with distributed systems (Snowflake, Spark), and NoSQL systems (MongoDB).
  • 3+ years experience collaborate directly with cross functional team such as product, business stakeholders on clarifying business requirement and presenting machine learning solutions
  • Bachelor degree in Computer Science, Physics, Mathematics, Statistics, Data Science or related technical discipline
  • 2+ years of experience in people management with experience building teams and growing talent.
  • 5+ years of experience in with Python and scripting languages (Unix shell) as well as solid experience with git.
  • Strong communication and interpersonal skills with the ability to present technical solutions to non-technical audiences
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The base pay range reflects the anticipated pay range for this position. The actual base pay offered will depend on various factors including individual skills, experience, performance, qualifications, the department budget, and the location where work is performed. Base pay is one component of eHealth’s total rewards package, which also includes an annual performance bonus, plus an array of benefits designed to support employees’ personal and professional wellness. For more information on our total rewards offerings, please visit our career site.
Base Pay Range -$140,000 - $175,000
eHealth is an Equal Employment Opportunity employer. It is our policy to provide equal opportunity to all employees and applicants and to prohibit any discrimination because of race, color, religion, sex, national origin, age, marital status, sexual orientation, genetic information, disability, protected veteran status, or any other consideration made unlawful by applicable federal, state or local laws. The foundation of these policies is our commitment to treat everyone fairly and equally and to have a bias-free work environment.
If you are interested in applying for employment with eHealth and need special assistance or an accommodation to apply for a posted position contact us at: .