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Staff Data Scientist Growth Analytics

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1 Vacancy
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Job Location drjobs

Mountain View, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Our Analytics team has a mission to power the growth of Coupang through datadriven insights. We are a team of creative problem solvers with a passion to deliver innovative business solutions. The team leverages big data to empower business decisions and deliver insights metrics and tools in order to drive customer engagement retention and business growth. As the growth engine within one of the largest and fastest growing ecommerce platforms on the planet Coupangs analytics team offers countless ways for an ambitious data scientist to make an impact.


Key Responsibilities

  • Build machine learning models perform proofofconcept experiment optimize and deploy your models into production.
  • Establish scalable efficient automated processes for data analysis machinelearning model development model validation and serving.
  • Work with a team of highperforming analytics data science professionals and crossfunctional teams to identify business opportunities optimize product performance or marketing efforts.
  • Analyze largescale structured and unstructured data; develop deepdive analyses and machine learning models to drive customer engagement and retention.
  • Design and develop core business metrics create insightful automated dashboards and data visualization to track them and extract useful business insights.
  • Design and analyze experiments to test new product ideas or marketing strategies. Convert the results into actionable recommendations.
  • Craft compelling stories; make logical recommendations; drive informed actions.
  • Communicate findings to senior leaders and evangelize datadriven business decisions

Basic Qualifications

  • Masters degree in a quantitative field Computer Science Mathematics Engineering or related fields;
  • 8 years of work experience involving quantitative data analysis and machine learning models projects.
  • Programming language required including python R spark
  • Database experience with advanced SQL or SQLlike skills (HadoopHive); experience researching and manipulating complex and large datasets;
  • 8 years working experience in the engineering teams that build largescale MLdriven userfacing products
  • Experience with state of the art ML modeling techniques and approaches
  • Handson experience training and applying models at scale.
  • Ability to communicate information effectively to a variety of groups at different levels.
  • Willingness to digin and understand the data and to leverage creative thinking and problemsolving skills are absolute musts.
  • Selfstarter who takes the initiative to get things done.
  • Outstanding team player with a customerback mindset

Preferred Qualifications

  • Experience with manipulating massivescale customer and clickstream data.
  • Experience with causal inference and/or reinforcement learning such as Multiarm bandit
  • Experience with Hadoop or other MapReduce paradigms and associated languages such as Pig Hive etc.
  • Excellent communications skills with the ability to synthesize simplify and explain complex problems to different types of audience including executives
  • Experience in working on backend and ML systems for largescale userfacing products and have a good understanding of how they all work.
  • Search engine bidding experience and knowledge

Pay & Benefits

Our compensation reflects the cost of labor across several US geographic markets. At Coupang your base pay is one part of your total compensation.

The base pay for this position ranges from $138000/year in our lowest geographic market to $297000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on jobrelated knowledge skills and experience.

General Description of All Benefits

  • Medical/Dental/Vision/Life AD&D insurance
  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
  • Longterm/Shortterm Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 1821 days of the Paid Time Off (PTO) a year based on the tenure
  • 12 Public Holidays
  • Paid Parental leave
  • Pretax commuter benefits
  • MTV Free Electric Car Charging Station

General Description of Other Compensation

Other Compensation includes but is not limited to bonuses equity or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race including but not limited to hair texture and protective hair styles) color religion religious creed (including religious dress and grooming practices) sex or gender (including pregnancy childbirth breastfeeding and medical conditions related to pregnancy childbirth or breastfeeding) gender identity gender expression sexual orientation ancestry national origin (including language use restrictions) age 40 and over) physical or mental disability medical condition genetic information HIV/AIDS or Hepatitis C status family status (including but not limited to marital or domestic partnership status) military or veteran status use of a trained dog guide or service animal political activities or affiliations ancestry citizenship family and medical leave status status as a victim of any violent crime or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability please contact us at.

Job ID: R0054376

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.


Required Experience:

Staff IC

Employment Type

Full-Time

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