Top Data Science Jobs in Turkey
As a Data Analyst, you will optimize algorithms, conduct in-depth data analyses, collaborate with data science teams, run A/B tests, and develop KPIs to improve business processes and drive decision-making through data-driven insights.
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.
Lead the Data Science department focusing on Search, Pre-Search, and Seller Ads to enhance user experience through refined techniques and personalized solutions, while fostering a collaborative environment among data scientists.
As a Senior Data Scientist, you will create scalable machine learning algorithms for search optimization, focusing on real-time conversational systems. Responsibilities include developing data models, implementing evaluation strategies, building complex data pipelines, and conducting A/B tests to enhance Udemy’s search product.
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.
The Senior Data Analyst will enhance homepage performance through custom sorting algorithms, perform deep dive analyses and A/B tests, partner with data science teams to define success metrics, and prepare dashboards to showcase homepage performance.
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.
Seeking a Senior Data Scientist to enhance business value by leveraging data science to improve the seller experience on the platform. Responsibilities include building and implementing ML models, conducting A/B experiments, translating business needs into data-driven solutions, and staying updated with the latest developments in data science.
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 Senior Data Scientist in the Discovery team will enhance personalization and recommendations to optimize user experience. Responsibilities include developing recommendation systems, utilizing ML-Ops infrastructure, collaborating with stakeholders, and transforming data insights into actionable business strategies.
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 Data Engineer at Cherry Installments, you will enhance data availability and usability by designing data pipelines, contributing to the data warehouse ecosystem, developing APIs, and creating dashboards. Collaboration with various internal stakeholders to optimize data access and usage will be key responsibilities.
The Data Scientist will analyze large datasets to identify trends, provide actionable insights, and develop reporting tools while collaborating with marketing and product teams. Responsible for building reports, dashboards, and maintaining data integrity, using SQL and tools like Looker and Tableau.
The DWH ETL Engineer will develop ETL processes to transfer data from various source systems to the data warehouse, maintain and tune ETL jobs, and solve related problems. They will also stay updated on DWH developments and contribute to technology selection.
The Artificial Intelligence Engineer will label and annotate data comprising images, videos, and texts while ensuring quality control in data annotation. They will manage the data annotation pipeline and work closely with Research Leaders to achieve set goals within deadlines.
As a Data Engineer, you will handle the entire data engineering pipeline, from raw data collection and preprocessing to serving data for model training. You will utilize programming languages to analyze data, ensure data quality, build knowledge graphs, and collaborate with cross-functional teams for innovative solutions.
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.
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