Data Scientist

Check out the general attributes.

Founded in 2013, Teknasyon is a tech company that manages all processes that digital products may require internally; including programming, design, sales and marketing. It has reached more than 1.5 billion users worldwide with the mobile apps it has developed. In addition, by developing its internal solutions into SaaS products such as Rockads, VerifyKit, Desk360 and Deepwall it offers these services to other companies with similar needs. Teknasyon also takes steps in growing and revitalizing the start-up ecosystem with its investor role and continues to support foreign and local ventures it sees potential in.

Apply now if you want to join the strong and ever-growing Teknasyon team and become part of this story! You can be the “Data Scientist” we are looking for!


  • 2+ years of professional experience applying data science methods and statistics to real-world data problems,
  • Fluency in SQL,
  • Good command of Python and familiarity with its scientific stack such as numpy, pandas, scikit learn and machine learning libraries such as tensorflow,
  • Experience in machine learning models,
  • Knowledge in algorithms design and developing data science pipelines, tool-chains, and workflows,
  • Effective presentation techniques for stakeholders,
  • Creating executive dashboards for business.
  • Analytical and critical thinking,
  • Strong teamwork and communication skills, solution-oriented attitude,
  • High motivation for innovations,


  • A deep understanding of unsupervised learning algorithms,
  • Experience in performing anomaly, fraud and spam detection,
  • Experience in ML project deployment (Docker, Kubernetes, etc.),
  • Experience with Scala or PySpark for big data analytics.


  • Processing and analyzing large data,
  • Conducting comprehensive researches and creating anomaly, fraud and spam detection algorithms,
  • Designing, developing, and implementing advanced ML models to analyze given user behavior and obtaining results in the desired format,
  • Making robust data models to run in high traffic and developing services to respond real-time queries,
  • Presenting the data story of any projects in a clear and effective manner through creative visualizations.


  • Being part of a big team who makes global apps,
  • A team that values open communication, multidimensional leadership and teamwork,
  • A dynamic work environment which relies on collaboration,
  • Never-ending opportunities for learning and improvement,
  • Internal, external and online training,
  • An office full of joy and activities,
  • Monthly social events organized to lift the team spirit,
  • Bonus pay when your colleague thanks you,
  • Bonus pay to give a reference for your friend to be hired.