Sr Data Scientist

About Us

Born in 2014, MagicLinks is one of the fastest-growing influencer platforms powering social commerce today. As a technology, MagicLinks empowers over 20k YouTube Influencers to turn moments of inspiration into new customer acquisitions at over 5k retailers. MagicLinks Influencers have launched 160k+ YouTube videos, watched by over 18B fans, driving over $850M in retail sales.

Our longevity with brand partners is founded in our unique ability to match social KPI’s with proprietary customer transaction data (Match Intelligence™) to target the right influencers with the right audience, driving sales and measurable ROAS. Our mission is to help brands solve influencers with a sustainable, performance-based approach, transparency in reporting, and compounding results. 

Tenants of MagicLinks Culture

  • Limitation is an illusion, nothing is ever impossible
  • Make everything you do a work of art
  • Never settle for less than excellent
  • Radical ownership
  • Celebrate failures that come from taking risks
  • Laugh every day
  • Live consciously

Seeking

MagicLinks has the sexiest untapped trove of data in the e-commerce landscape. With data on 160+ millions shoppers and their buying behavior, we are driving a massive product sales which creates a differentiated data pool that very few players in the influencer market have access to. The senior data scientist will be responsible for helping us tap into this unique data set, and unlock the huge amount of value that it provides us to help scale our business exponentially.

Responsibilities

  • Export and analyze data from company databases to optimize and improve product development, marketing techniques and business strategies
  • Incorporate elements of machine learning and AI into our core products including developing custom data models and algorithms
  • Establish processes and tools to monitor and analyze model performance and data accuracy
  • Work closely with our engineering team establish best practices for data storage, data warehousing and security
  • Use predictive modeling to increase and optimize user experiences, revenue generation, marketing targeting and other business outcomes
  • Analyze the effectiveness and accuracy of data sources and data gathering methods
  • Research and suggest data sources that can be incorporated to improve our products and streamline business decisions

You Are

  • 5 to 8 years of experience with data architectures, Machine Learning, Artificial Intelligence; ideally with direct experience in e-commerce, digital media, and/or influencer marketing
  • Knowledge of statistical programming languages such as (Python, R, SQL, etc.)
  • Knowledge of variety of machine learning algorithms and their real-world pros and cons
  • Experience using data warehouse solutions and Big Data (Snowflake, BigQuery, Redshift, etc.)
  • Visualization tools (D3, ggplot, Tableau, etc.)
  • Excellent communication skills and an ability to distill and clearly communicate the most important insights that have meaningful business impact to diverse stakeholder groups.
  • A highly motivated self-starter, and mental athlete, capable of producing high quality work while adhering to oftentimes very tight turnaround times in an exciting and fast-moving start-up environment.
  • Experience leading teams of data scientists and growing data oriented professionals in their career development.
  • Someone who others describe as disciplined, detail-oriented, and committed to excellence
  • Passionate about the future of digital media, technology, and curious to learn more

Compensation

  • Salary, Bonus, and Equity (based on experience)
  • Full time employees are eligible for health care benefits including health, dental, vision, and 401(k) plans.

Diversity Statement

At MagicLinks, we recognize diversity as something bigger than a search term or buzzword. Diversity here is an acknowledgement that the world is made up of many different facets, that all human beings have intrinsic value and worth, and are under no obligation to be anything other than their honest selves. Diversity means recognizing that different views and experiences are as important as those we’re already familiar with. It means taking radical ownership of the things we affect as individuals and as a company - including even inherited ways of doing things which may be destructive or biased and which we must work to change. It means looking at the world and making sure we embody as many of its best qualities as we can, and striving for that as a matter of principle, not as a marketing goal we check off a list. 

Diversity goes beyond what we look like, who we are, who we love or how we think. Diversity is shorthand for an integrity-driven way of operating and growing every single day, and we wouldn’t have it any other way.

If you are interested, send us your resume to jobs@magiclinks.com