Data Scientist

 

About the Role:

TNC, as a company that specializes in creating communities that allow people to live authentic, fulfilled, and happy lives, is seeking a Data Scientist to join our Service Team. The position requires an inquisitive person who can find solutions to complex data science problems with an open mind and can learn quickly.

 

Service Team engineers play a direct role in the direction of our company and are able to work across multiple teams to implement fresh ideas that allow our communities to grow. The team is working on discovering information hidden in vast amounts of data to make intelligent business decisions and to deliver better products.

 

What You’ll Do:

• Build advanced statistical and machine learning models to solve problems like customer lifetime value prediction, pricing optimization, marketing attribution, recommendation algorithm, user behavior forecasting, user experience personalization, etc;
• Collaborate with products and data teams to identify, define, and document key metrics to guide business decision making such as engagement, retention, and lifetime value tracking across various aspects of our sites;
• Provide data-driven insights to identify business opportunities, help drive changes across products and various operation teams, and ultimately to improve customer value and business metrics;
• Drive the performance of current and new Performance Marketing initiatives by leveraging appropriate statistical techniques and available resources (given tools, budget, existing/potential partnerships, etc);
• Work with data engineers, product development teams to define the data collection needs and to develop statistical/machine learning models;
• Communicate complex finding visually to non-technical shareholders;
• Proactively seeking clarification of requirements and direction;
• Have a good understanding of design and architecture principles;
• Contribute to mentoring existing product teams to foster Data-Driven Culture and improve the overall output (products growth) of their V2MOM/OKR objectives.

 

We’ll Offer You a Work Environment with Opportunity to:

• Work hand-in-hand with product teams to support strategic Growth Hacking Initiatives;
• Pair-work with Full-stack Engineers, Data Scientist and Machine Learning Engineers to build advanced statistical and machine learning models to solve problems like customer lifetime value prediction, pricing optimization, marketing attribution, recommendation algorithms, user behavior forecasting, user experience personalization, etc;
• Collaborate on cultivating consensus and alignment within the team and across the organization.

 

At a Minimum, We’d Like You to Have:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics or similar fields;
• 5+ years full-time relevant industry experience;
• Strong (written/verbal English) communication, written, interpersonal, and organizational skills;
• Deep understanding of statistics and machine learning methods;
• Experience with statistical programming languages like Python or R;
• Experience with the Hadoop data stack; HDFS, Presto & Hive;
• An ability to write complex SQL queries. You should feel comfortable using aggregate functions and all types of joins;
• Ability to work in a multicultural environment;
• Self-motivated, independent, eager to learn, and an amazing ability to get stuff done.

 

Ideally, You’ll Also Have:

• Ability to work in stressful situations when insights in (new) data sets is required quickly;
• Experience with NLP;
• Enjoy coaching and empowering/mentoring your peers to maximize progress and potential.

 

What are we offering?

• 16 paid holidays with annual increments of 2 days (maximum 24 paid holidays);
• Extra paid day off on Christmas & Volunteer Time Off;
• Catered food and drinks;
• Nice place to work;
• Entertainment facilities such as pool table and darts;
• Annual team and company trip;
• OOODays (out of office days);
• Massage sessions;
• Language classes;
• A mini library of programming books;
• Annual health check;
• Gym reimbursement;
• Social welfare and additional medical insurance.

 

Btw, if you are not able to finish the application from your device, please send your resume directly to jobs@thenetcircle.com, thanks!

 

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