Top Data Science Jobs in Istanbul
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
The Head of Growth will lead a team focused on driving commercial results using data and technology. Responsibilities include managing the marketing technology stack, overseeing customer lifecycle analytics, optimizing lead conversion rates, developing SEO practices, and collaborating with various departments to implement data solutions.
The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.
As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.
The Big Data Analyst will analyze large datasets to identify trends and provide insights that inform business strategies. The role involves managing data quality from various sources and utilizing big data tools for analysis and reporting, also collaborating with departments for data-driven decisions.
The Senior Data Scientist will develop data modeling algorithms focused on analyzing large datasets, building models, and ensuring data accuracy. Responsibilities include refining data models for production, consulting on AI applications, and collaborating with engineers and data scientists to bring innovative products to market in the digital advertising space.
As the Analytics Engineering Lead, you will transform raw data into insightful outcomes, design data models, enhance data utilization, and collaborate with stakeholders to promote data-driven decision-making while overseeing data quality and documentation.
As an Analytics Engineer, you will develop and maintain high-quality data models using dbt, optimize SQL-based transformation pipelines, collaborate with various teams to ensure data accuracy for business reporting, and create documentation and data quality checks while mentoring junior members.
The Analyst Programmer - ETL is responsible for developing and unit testing ETL scripts in IDMC based on design specifications. They will maintain ETL processes, collaborate with teams on data requirements, implement transformations, troubleshoot issues, and document processes while staying updated on ETL development trends.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
Apply machine learning techniques to analyze large datasets, develop predictive models, perform data cleaning and preprocessing, collaborate with teams, and communicate technical concepts effectively.
As a Data Scientist, analyze complex datasets using statistical methods and machine learning algorithms to extract actionable insights. Develop, test, and deploy predictive models optimized for performance. Collaborate with Data Engineers to maintain data quality and consistency. Create reusable data pipelines and mentor junior team members.
The Principal Statistical Programmer leads the development and maintenance of statistical programming capabilities. Responsibilities include designing data specifications, overseeing CRO deliverables, implementing SAS programs for clinical data analysis, and collaborating with study teams for timely and quality deliverables.
As a Senior Data Engineer on the Petal Search team, you will be responsible for data engineering tasks, utilizing coding for data analysis, building knowledge graphs, and implementing data quality assurance methods. Collaboration with various teams to address real-world problems is key, alongside a passion for continuous learning and improvement.
As a Staff Data and BI Engineer, you will design and maintain ETL processes, develop dashboards and reports, collaborate with stakeholders, ensure data quality, optimize queries, and keep up with BI trends.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
As a Data Engineer, you will be responsible for data engineering in the product pipeline, analyzing data using programming languages, building knowledge graphs, and implementing data quality assurance mechanisms. Collaboration with various teams to address real-world problems and continuous improvement through learning are essential.
As a Senior Data Engineer for Petal Search, you will analyze data, build statistical models, create knowledge graphs, and implement data quality assurance mechanisms. You will collaborate with various teams to provide solutions for real-world problems and must have experience in data modeling and architecture with large datasets.
The Data Team Lead will manage a team responsible for developing and validating statistical models to ensure data accuracy across the organization. They will collaborate with various departments to support data-driven decision-making and oversee the team's efforts in handling large datasets effectively.
The Data Team Lead will manage a team to develop and validate statistical models, ensuring data accuracy and reliability across various departments. They'll act as the main point of contact for data activities, overseeing model creation related to credit forecasting and risk evaluation while collaborating closely with other department leads.
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