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Senior Data Scientist

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Advanced degree in Machine Learning or Data Science., 5+ years of hands-on Data Science experience., Strong Python and SQL skills., Experience with AWS or SageMaker..

Key responsabilities:

  • Drive personalization to enhance company growth.
  • Develop advanced data science models to improve KPIs.
Seeking Alpha logo
Seeking Alpha Computer Software / SaaS SME https://seekingalpha.com/
201 - 500 Employees
HQ: New York
See more Seeking Alpha offers

Job description

Description

Join a Company That Invests in You

Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

We are looking for a Senior Data Scientists to join our team of Data Scientists. In this role, you will be responsible for 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. You will work closely with data analysis and data engineering teams to leverage personalization to enhance the company’s growth.


What You'll Do

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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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