• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 13th Nov 2020

manage data science projects including scoping, designing, and executing the vision with the help of more junior data scientists / analysts.

identify and prioritize initiatives to deliver value to our internal stakeholders.

managing data science projects, managing stakeholders, and working cross functionally.

  1.  What Software and tools does the team use  Hadoop / Hive, Jupiter Notebooks, Microsoft Azure, Power BI, Excel

  2.  What is the size of the Data this person will be working with Depends on the project, but could be up to 10M records.

  3.  Does the team develop or implement new algorithms  The team is focused on leveraging open source algorithms to improve our business.  We're not looking to reinvent the wheel unless necessary.

  4.  What type of degree do you need?  Some looking for this type of person look for a BS while others look for a MS or even a PHD (of course this is where money comes into play)  Preferred to have a masters or PhD, but not necessary.  Experience in the real world, making a difference at a company, is more important.  We prefer someone with experience in marketing analytics, call center analytics, or customer retention spaces.

  5.  What analytic language will be used?  We work in python and SQL for the most part.

  *   BA/BS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)

  *   5+ years of experience in data science at a B2C or direct to consumer company (experience in marketing, business operations, or customer retention is a plus)

  *   Experience implementing predictive and prescriptive models in production systems

  *   Experience managing data science projects and mentoring data scientists / analysts

  *   Proficiency with Python, SQL, Excel, and a data visualization tool (Tableau, Power BI, etc.)

  *   Ability to manage multiple projects and deadlines

  *   Experience communicating strategy and results to different audiences

  *   Ability to work cross functionally and influence others

  *   Ability to be objective, follow the facts, cut through noise and create a story with data

  *   Thrives in a fast-paced environment that is constantly changing

  *   Become the domain expert in multiple areas of the business (i.e. retention, call center effectiveness, etc.) and contribute to the advancement of those area through thought leadership.

  *   Lead new projects and initiatives through understanding business needs, executing, presenting and influencing stakeholders.

  *   Be a technical leader on the team that can advise, mentor, and delegate tasks to more junior data scientists and analysts.

  *   Facilitate data-driven decision making and prioritize initiatives.

  *   Develop strong cross functional partnerships with business and technology stakeholders.

  *   Act as a subject matter expert within the organization on all things data.

  *   Find new and improved ways for us to use data in our products, operations, and business strategies.