Senior Data Scientist / Data Analyst (TheOne)

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. Together, we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people will be able to fulfil their needs for communication and attention from other people and artificial life forms.

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

We are looking for a Senior Data Scientist / Data Analyst for one of our products.

What will you do:

• Data Exploration and Analysis: Discovering patterns, insights, and structures through exploratory data analysis (EDA);
• Data Preparation for LLM: Cleaning, filtering, and deduplicating datasets to ensure quality inputs for training;
• Developing and implementing evaluation methodologies for the AI bot: Create and maintain robust frameworks to assess the performance, accuracy, and user satisfaction of AI bots, including offline and online metrics;
• Collaborating with cross-functional teams: Work closely with data scientists, software engineers, and product managers to integrate AI solutions into the overall product pipeline.

We expect from you:

• Proficiency in Python, SQL, algorithms, and mathematics: Strong coding skills in Python, experience with SQL and a solid foundation in algorithms, linear algebra, probability, and statistics;
• Deep understanding of ML: Comprehensive knowledge of machine learning concepts, including supervised, unsupervised, and reinforcement learning (optional);
• Experience in unsupervised learning: clustering, anomaly detection, visualization;
• Familiarity with DS/ML frameworks and tools: numpy, pandas, scipy, scikit-learn, matplitlib;
• English level: B2+.

Nice to have:

• Expertise in NLP and LLM: Experience with natural language processing and large language models;
• Familiarity with DL frameworks and tools: pytorch, transformers;
• Experience with data labeling platforms: Toloka, MTurk;
• Familiarity with Hadoop ecosystem: HDFS, MapReduce, Spark, NoSQL.
  

What do we offer:

• REMOTE OPPORTUNITY to work full time;
• 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 the locations where we have offices or co-working. In the 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.

Sounds good? Join us now!