Deputy Chief Data Officer

4 semanas atrás


Região Geográfica Intermediária de Pelotas, Brasil Social Discovery Group Tempo inteiro

Social Discovery Group (SDG) is a global technology company that builds apps at the intersection of dating, social, and entertainment. The company's portfolio includes 70 social discovery platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund.

More than 500 million people in 150 countries enjoy our products, and we strive to have ten times as many.

SDG invests in social discovery technology startups around the world. Our Investments include Open AI, Patreon, Flo, RAW, EVA AI, Clubhouse, Magnet, Woebot, Flure, Astry, Coursera, Academia, Harbour, Space, Auto1, DocSend, AppAnnie, Rapyd, Boom Supersonic, Trading, View, K-Health and many others.

We solve the problem of loneliness, isolation, and disconnection with the help of digital reality.

Our digital nomad team of more than 1200 professionals works all over the world, shaping Social Life 3.0 — a new digital reality where people can fulfil their needs for communication and attention from other people and artificial life forms.

Our teams of digital nomads live and work remotely from various locations including Cyprus, Malta, the USA, Thailand, Indonesia, Hong Kong, Japan, Australia, Poland, Israel, Turkey, Latvia and many others.

We are seeking a bright Deputy Chief Data Officer for our Core business unit. Your mission is to provide the business with top-quality support in making data-driven decisions. Additionally, you will be responsible for organizing processes that enable stakeholders to quickly identify and resolve issues with products, as well as methods that facilitate the identification of areas for product growth.

You will be responsible for the results of the teams:

  • Product analytics;
  • Data engineers;
  • Machine Learning;
  • UX-researchers.

We expect from you:

  • At least 5 years of experience in a leadership position within a technology company, preferably in analytics;
  • Confident knowledge of mathematical statistics and probability theory, with experience in the applied application of mathematical statistics, especially in the evaluation of experiments;
  • Understanding of the principles of building hypotheses;
  • Knowledge of the basics of digital marketing, with experience in unit economics of products;
  • Knowledge of database principles, including relational ones, with experience in writing database queries;
  • Familiarity with the basics of machine learning and UX-researches;
  • Experience using BI tools and data self-service.

What do we offer:

  • REMOTE OPPORTUNITY to work full time;
  • Vacation 28 calendar days per year;
  • 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
  • Bonuses up to $5000 for recommending successful applicants for positions in the company;
  • Full payment for professional training, international conferences and meetings;
  • Corporate discount for English lessons;
  • Health benefits. If you are not eligible for corporate medical insurance, the company will compensate you with up to $1,000 gross per year per employee, according to the paychecks. This can be spent on self-purchase of health insurance or on doctor's fees for yourself and close relatives (spouse, children);
  • Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In other locations, the company provides reimbursement of workplace costs up to $1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
  • Internal gamified gratitude system: receive bonuses from colleagues and exchange them for time off, merch, team building activities, massage certificates, etc.

If you have a passion for data-driven decision making and are excited about the opportunity to lead a team of talented analysts, we want to hear from you

#J-18808-Ljbffr
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