As Roof Stacks, we have been carrying out innovative projects since 2015. We aim to become a global actor in Tourism Systems, Extended Reality(AR/VR), Blockchain Technologies, Game Development, and Financial Technology, which are our areas of expertise.
We focus on creating a difference with the technologies we develop and designing the future. In addition to our central office in Ataşehir/İstanbul, we have branches in Antalya and Elazığ in Turkey.
We have strengthened our position in the global market by opening a new office in Austin, USA, which hosts world technology giants from all over the world.
Job Purpose:
As a Senior Data Scientist at Roofstacks, you will use your expertise in data analysis, machine learning, and statistical modeling to enhance our video streaming services and personalize content for our users. You will develop and implement advanced algorithms and data-driven strategies, such as personalized content recommendations and location-based analysis, to optimize user engagement and improve content delivery on our platform.
Key Responsibilities:
*Design, develop, and implement advanced machine learning models and statistical algorithms to optimize video streaming performance, personalized content delivery, and user experience.
*Analyze large datasets, including user engagement metrics, viewing history, geographical data, and network performance, to extract meaningful patterns, trends, and insights.
*Develop and optimize algorithms for personalized content recommendations, user segmentation, and location-based content delivery.
*Collaborate with engineering and product teams to integrate predictive models into production systems that enhance video streaming quality and content personalization.
*Utilize AWS data science products (e.g., Amazon SageMaker, AWS Lambda, Amazon Redshift) to build and deploy scalable machine learning models and data pipelines.
*Conduct exploratory data analysis and generate actionable insights to enhance video streaming efficiency, user satisfaction, and content personalization strategies.
*Stay updated with the latest industry trends, techniques, and technologies in data science, machine learning, video streaming, and cloud computing.
*Mentor junior data scientists and contribute to the development of the team’s technical expertise.
*Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Requirements:
*Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
*5+ years of experience in data science or a related field, with a strong emphasis on machine learning, predictive modeling, and statistical analysis.
*Experience in video streaming analytics, video quality optimization, content recommendation systems, or location-based content delivery.
*Proficiency in programming languages such as Python, R, or Scala.
*Strong experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) and data manipulation tools (e.g., Pandas, NumPy).
*Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
*Knowledge of video encoding, compression algorithms, and adaptive bitrate streaming.
*Expertise in personalization techniques, such as collaborative filtering, content-based filtering, and location-based analytics.
*Experience with AWS data science products and services, such as Amazon SageMaker, AWS Lambda, Amazon Redshift, and other AWS cloud-based tools.
*Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
*Strong communication skills with the ability to convey complex data findings to a non-technical audience.
