We are looking for a Senior Data Scientist to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves designing and implementing statistical and ML algorithms within big data pipelines, while ensuring data robustness and efficiency. You will be expected to come up with creative solutions to problems related to time series, text analysis, estimation and classification. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities: Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data engineers and analysts.
Participate in the design of our data products based on your knowledge of the data sources available.
Monitor and analyze data along the pipelines to ensure product quality and promptly resolve any issues that arise.
Key Responsibilities: Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data engineers and analysts.
Participate in the design of our data products based on your knowledge of the data sources available.
Monitor and analyze data along the pipelines to ensure product quality and promptly resolve any issues that arise.
Requirements:
– Masters degree in Computer Science, Mathematics, Data Science or another relevant scientific discipline.
– At least 4 years of experience in data science or related roles.
– Proficiency in Python.
– Familiarity with statistical estimation methods, time series analysis, supervised and unsupervised machine learning models.
– Experience with Big Data technologies and distributed computing such as Spark is a huge advantage.
– Strong problem-solving skills and ability to learn new technologies quickly.
– Being goal-driven, efficient and thinking out of the box.
– Excellent communication skills and ability to work independently and in a team.
– Masters degree in Computer Science, Mathematics, Data Science or another relevant scientific discipline.
– At least 4 years of experience in data science or related roles.
– Proficiency in Python.
– Familiarity with statistical estimation methods, time series analysis, supervised and unsupervised machine learning models.
– Experience with Big Data technologies and distributed computing such as Spark is a huge advantage.
– Strong problem-solving skills and ability to learn new technologies quickly.
– Being goal-driven, efficient and thinking out of the box.
– Excellent communication skills and ability to work independently and in a team.
This position is open to all candidates.
