Senior Data Scientist

4 Months ago • 5 Years + • Data Analyst

Job Summary

Job Description

Seeking a Senior Data Scientist with 5+ years of experience in personalization algorithms. Proven track record of implementing data science models in production environments, preferably using AWS or SageMaker. Advanced Python skills and SQL knowledge are essential. Experience in website personalization and targeting is a must.
Must have:
  • Personalization Algorithms
  • Data Science Models
  • AWS or SageMaker
  • Python and SQL
Good to have:
  • Stock Market Investing
  • Data Analysis & Visualization
  • Machine Learning
  • Data Engineering
Perks:
  • Work-Life Balance
  • Investment in People

Job Details

Description

Do you look at websites that are personalized for you and automatically think about the machine learning that may have been used to drive them? Does your mind bounce between AI algorithms and the ways they are used online? If these things describe you, and you’re great at Data Science and AI, you’re someone we want to talk to.

We're looking for Senior Data Scientists to join a team of Data Scientists driving the personalization of our successful website for stock market investors. Personalization is the core of our ongoing site redesign and is needed to drive both the user experience, marketing, and subscriber engagement. The role involves working closely with strong data analysis and data engineering teams. 

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in everything the company does, and this role will be pivotal in adding personalization and targeting to all aspects of the site. 

Responsibilities

Goals:  

  • Growth through Personalization: The ultimate goal of the Senior Data Scientist is to leverage personalization to enhance the company’s growth by improving the conversion rate of those in free or paid trial, and boosting the renewal rate of paying subscribers. This includes optimizing the current product and introducing new personalized features or functionality in partnership with the Product team.
  • Immediate Impact and KPI Improvement: Make an immediate impact on the business by developing and implementing advanced data science models and techniques, aimed at improving KPIs

How you will be measured: 

  • Your success will be measured by increases in user engagement, leading to higher retention and trial conversion rates, as a result of your personalization projects.

Requirements

Experience and Qualifications:

  • Advanced degree and commensurate experience in Machine Learning and Data Science.
  • 5+ years of hands-on experience in Data Science, with a strong focus on developing and deploying advanced personalization algorithms in a dynamic business environment.
  • Proven track record of using Data Science for website personalization and targeting.
  • Experience in implementing data science models and creating pipelines for these models in production environments, preferably using AWS or SageMaker.
  • Advanced Python skills and SQL knowledge.
  • Excellent English communication skills are essential, both written and verbal.
  • Direct familiarity with stock market investing: a plus.
  • Experience with data analysis and data visualization: a plus.

Why we’re a great company to work for?

  • We have an awesome product. Our cutting-edge investing tools are helping hundreds of thousands of registered users exceed their financial goals.
  • Our whole company is incredibly data-driven. Data at Seeking Alpha is central to everything we do.
  • You’ll impact the lives of many people. We have over 20 million people visiting Seeking Alpha every month. We work hard to make our users happy and help them build wealth.
  • We care about work-life balance. We work mostly from home, we provide lots of vacation days, and we insist that you enjoy them.
  • We invest in people. We consider each employee a long-term investment, and we see value in continuously nurturing and training our teammates.

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