senior data science manager Jobs in Ankara

senior data science manager

data analyst

data scientist

TÜRİB | Türkiye Ürün İhtisas Borsası

<div>
 
 
 Qualifications
 
 
 <ul>
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 Bachelor&rsquo;s Degree or higher in Computer Science/Engineering or similar disciplines
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 2+ years of experience in Machine Learning, Data Science, Analytics and/or Statistics
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 High level proficiency in Python and SQL
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 Experience in ML application development experience by Python which includes data pipeline creation, feature engineering, model selection and validation, hyper parameter optimization, application development and deployment
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 Excellent software design, problem solving and debugging skills
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 Hands-on experience in defining and analyzing large, complex datasets
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 Ability to use data visualization tools effectively to aid understanding and to communicate finding
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 Ability to work closely with other scientists or software engineers to develop the best technical design and approach for new analytical products.
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 Have a hypothesis-driven, scientific approach to problems
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 Excellent communication skills
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 Ability to think analytically
 </li>
 </ul>
 
 
 
 
 
 Job Description
 
 
 <ul>
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 Coordinate with multidisciplinary and diverse project stakeholders to transform data analytics into AI goals and modeling approaches
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 Performing statistical analyzes on data sets
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 Developing and validating analytical models and ensuring that the models developed within the scope of business needs are applied to the customer
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 Testing existing models and analyzing and correcting detected errors
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 Writing the documents related to the developed analytical products
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 Trying new models and approaches by learning continuously
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 Coordinate with multidisciplinary and diverse project stakeholders to transform data analytics
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 Ensuring the transfer of experience within the team
 </li>
 </ul>
 
 
</div>

Data Scientist

Udemy

<div>
 
 Join Udemy. Help
 
 
 define
 
 
 the future of learning.
 
 
 
 Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It&rsquo;s personalized, practical, and focused on real-world impact.
 
 
 Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they&rsquo;re picking up something new or leveling up to stay ahead.
 
 
 Over 80 million learners and 17,000 businesses already learn with Udemy. If you&rsquo;re excited by change, energized by learning, and ready to have a real impact, you&rsquo;ll feel right at home.
 
 
 
 Learn More About Us On Our Company Page.
 
 
 
 
 
 Where we work
 
 
 
 
 Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and T&uuml;rkiye.
 
 This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays
 
 .
 
 
 
 About Your Skills
 
 
 
 <ul>
 <li>
 Continuous Learning and Growth: Being able to follow up on all the progress in the AI and ML field, translating them into strategic capabilities for you and your teams is critical for this role. Truly understanding what these algorithms are capable of and making sure you set your team for success.
 </li>
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 Leadership: You design and build an environment that balances outcomes and innovation, while keeping a collaborative yet competitive team culture. You lead with humility and clarity. You build an environment where individuals feel supported, heard, and proud of what they build together. You understand how to motivate and empower your team to do their best work.
 </li>
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 Data Driven: You rely on data driven processes to make sure what the team is building is delivering the intended value. Fueled by an iterative process of A/B experiments and learning, you provide a clear process that balances big bets and iterative improvements leading to measurable outcomes.
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 Decision Making: You are able to gather and communicate effectively all data, cross functional partner inputs, company direction to facilitate effective brainstorming sessions, help the team to set direction and progress confidently.
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 Effective Communication: You explain the complex domain of ML/AI Algorithms with intuitive and focused simplicity, while clearly communicating limitations and opportunities effectively.
 
 
 </li>
 </ul>
 
 About This Role
 
 
 
 As a Data Scientist manager in the Catalog Search team, you will be responsible for managing a team of data scientists building AI/ML driven algorithms for the discovery of learning experiences with a primary focus on search. You will drive the strategy for the team to explore new strategies to use LLMs, semantic embedding models as well as learning engagement analysis of users (behavioral data) and incorporate these to turn to highly personalized learning opportunities for learners.
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 
 <ul>
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 Partner with product managers, data scientists, engineers and other stakeholders to build data products and set direction as well as drive the execution.
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 Build and maintain a high performance team, by recruiting, hiring and planning career development of a team of data scientists/ML engineers
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 Provide hands-on technical guidance and career mentorship for team members
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 Maintain high-quality standards, effective communication processes, and best practices in engineering and data science
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 Research or prototype solutions and contribute to the codebase as needed
 
 
 </li>
 </ul>
 
 
 What you&rsquo;ll have
 
 
 
 
 <ul>
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 8+ years of experience as a software engineer, researcher or data scientist
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 3+ years of management experience of teams building data driven solutions.
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 Appetite and relevant background for learning state-of-the-art AI based search solutions
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 Strong communication skills both written and verbal
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 Strong coding skills with SQL and 1+ programming language (e.g. Java, Python)
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 Familiarity with agile practices (e.g., Scrum)
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 Ability to communicate effectively with non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred But Not Required
 
 
 
 <ul>
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 Hands on experience with Enterprise search systems (e.g. Elasticsearch, Solr).
 </li>
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 Experience with big data ecosystems such as Spark, Hadoop and Hive.
 </li>
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 Hands-on experience with training and fine-tuning semantic embeddings and/or LLMs.
 
 
 </li>
 </ul>
 application deadline 18 November 2025
 
 
 
 Why work here?
 
 
 
 
 You&rsquo;ll grow here.
 
 
 
 Learning is part of the job. You&rsquo;ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.
 
 
 
 AI is real here.
 
 
 
 We use it in the way we learn and the way we work. You&rsquo;ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
 
 
 
 You&rsquo;ll own your work.
 
 
 
 We trust people to lead, make decisions, and follow through. You don&rsquo;t need to wait for permission or layers of approval to have an impact.
 
 
 
 You&rsquo;ll Build With Others.
 
 
 
 We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
 
 
 
 You&rsquo;ll see your impact.
 
 
 
 What you build helps people grow their skills, change their careers, or find a path forward. You&rsquo;ve got the experience, why not use it to help others gain theirs?
 
 
 
 Bring your curiosity. We&rsquo;ll bring the platform and the support. Let&rsquo;s
 
 LEARN
 
 together.
 
 
 
 
 Our Benefits Start With U
 
 
 
 Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits &amp; US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.
 
 
 
 Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.
 
 
 
 
 At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
 
 
 
 
 
 Information regarding data privacy is available within the Udemy Careers Privacy Notice.
 
 
</div>

Senior Data Science Manager

PaneraTech, Inc.

<div>
 
 About PaneraTech, Inc.
 
 
 
 PaneraTech is a high-tech company that serves manufacturers in over 40 countries. Our disruptive technology offers unparalleled solutions that are often patent protected. Industries that use high-temperature processes, such as glass and steel, rely on PaneraTech to solve the major challenges they face. We leverage both AI and human expertise to improve efficiency, worker knowledge, and safety. We help in two major areas:
 
 
 Asset Life Extension - With our patented solution in the glass and steel industry, we help manufacturers make data-driven decisions using sensors, data, and AI. This results in longer asset campaigns safely with higher annual production.
 
 
 Enabling the next generation of workers - Heavy industries have relied on the experience of employees who worked for decades in one plant. As a generation of operators and engineers retire, we bridge the experience gap with technology, data, and expertise. We offer solutions that make industrial operations more data-driven, allowing early-career professionals to flourish.
 
 
 
 About The Role
 
 
 
 We are looking for a highly motivated Senior Generative AI Scientist to take an active role in the development of next-generation AI systems that combine generative intelligence, reasoning, and multi-agent collaboration. You will play a key role in building AI copilots for industrial operations&mdash;intelligent assistants that integrate multi-agent reasoning, domain expertise, and real-time data to empower operators, engineers, and decision-makers. You will propose and develop innovative solutions that leverage generative and agentic AI to optimize processes, simulate expert knowledge, and enhance decision support across manufacturing environments.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Leading research and development in Generative AI, foundational models, and multi-agent systems for adaptive and autonomous industrial intelligence.
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 Designing and implementing multi-agent architectures that coordinate reasoning, planning, and decision-making among specialized AI agents.
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 Developing collaborative AI frameworks where agents interact, share context, and collectively solve complex industrial or operational problems.
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 Fine-tuning Large Language Models (LLMs) for domain-specific reasoning, process understanding, and real-time decision support.
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 Prototyping and deploying agentic models that generalize across language, vision, and sensor-based data streams.
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 Building Generative AI systems capable of producing synthetic data, simulations, and expert-like recommendations.
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 Collaborating with engineers, scientists, and product teams to bring intelligent multi-agent systems into production environments.
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 Evaluating and enhancing model coordination, robustness, explainability, and scalability.
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 Mentoring junior researchers and fostering a culture of creativity, innovation, and responsible AI development.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s Degree in Electrical Engineering, Computer Science, or a related field.
 
 
 Strong programming skills in Python.
 
 
 Excellent communication skills and the ability to work in global, cross-functional teams.
 
 
 Proven expertise in one or more of the following areas:
 
 
 <ul>
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 Generative AI (LLMs, diffusion, or multimodal models)
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 Fine-tuning and optimizing Large Language Models (LLMs)
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 Multi-agent systems and agentic reasoning architectures
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 Representation or meta-learning
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 Reinforcement or continual learning
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 Multimodal AI for vision, text, and sensor data fusion
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 </ul>
</div>

Generative AI Scientist, Senior

Mobiversite

<div>
 
 
 About the Company
 
 
 
 Mobiversite is a fast-growing tech company building mobile apps and web apps that reach millions of users globally. We&rsquo;re looking for a proactive Data Analyst with strong communication skills and a willingness to take ownership.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
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 Create complex analytical SQL queries and transform raw data into structured insights
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 Develop and maintain daily, weekly, and monthly campaign dashboards and reports
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 Collaborate with product, marketing, and management teams to guide data-driven decisions
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 Design and interpret A/B tests to measure campaign performance and user behavior
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 Build predictive models to enhance user experience and optimize marketing efficiency
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 Monitor the accuracy and consistency of data sources, ensuring reliable decision-making
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 Translate findings into clear, actionable recommendations for marketing and growth teams
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 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Economics, Management, or a related field
 </li>
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 2&ndash;4 years of experience in data analytics, marketing analytics
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 Strong analytical mindset and ability to generate insights from large datasets
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 Proficiency in Excel; hands-on experience with SQL
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 Experience working with mobile app data is a plus
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 Familiarity with performance marketing KPIs and campaign optimization metrics
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 Excellent written and verbal communication skills in English
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 Proactive, result-oriented, and comfortable managing multiple priorities
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 </ul>
 
 
 
 
 
 Why Join Mobiversite?
 
 
 <ul>
 <li>
 Make an Impact: Your work will shape the future of our mobile products used by millions worldwide.
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 Grow with Us: We support personal and professional development with learning resources and growth opportunities.
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 Collaborative Culture: Work in a team where creativity, curiosity, and shared success matter.
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 Innovative Environment: Join a space where new ideas are encouraged and fast implementation is valued.
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 Competitive Package: Enjoy a competitive salary, benefits, and a culture that prioritizes your well-being
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 </ul>
 
 
</div>

Data Analyst

TRB 360

<div>
 
 
 Senior Software Developer
 
 
 
 
 
 
 
 Artificial Intelligence (AI) Specialist
 
 
 
 
 
 
 
 We are seeking a AI Specialist for our company operating in the oil and gas sector.
 
 
 
 
 
 
 
 Location: &Idot;stanbul- Ankara
 
 
 
 
 
 
 
 Role
 
 
 
 
 
 
 You will design and implement end-to-end AI solutions. This includes leveraging classical machine learning (ML), deep learning, and time series-based architectures. You will collaborate with cross-functional teams to identify business challenges and design experiments. Additionally, you will build predictive models and communicate actionable insights to stakeholders.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Strong knowledge of SQL and Python, and enthusiasm for learning new languages when needed
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 3+ years of experience in machine learning, data science, or AI engineering
 </li>
 <li>
 Proficiency in Python and ML/AI libraries (Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, LangChain)
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 Strong understanding of the ML model lifecycle, API-based architectures, and cloud-native deployment
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 Excellent problem-solving skills and ability to communicate complex technical ideas clearly
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 Experience with software implementation
 </li>
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 Strong background in mathematical modeling, operations research, and statistical approaches
 </li>
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 Strong background in time series models
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design and implement AI solutions using machine learning (ML), deep learning, and time series architectures
 </li>
 <li>
 Build solutions with generative AI (GenAI) tools such as OpenAI, Hugging Face Transformers, LangChain, and vector databases (Pinecone, FAISS)
 </li>
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 Translate business requirements into scalable AI-driven systems and MVPs (Minimum Viable Products)
 </li>
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 Collaborate with data engineers, product managers, and software developers
 </li>
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 Stay up-to-date with emerging AI trends and apply them to drive innovation
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 Continuous Learning:
 
 A culture of continuous development with opportunities to attend conferences and in-house tech events to stay up-to-date on the latest trends (everyone is encouraged to share knowledge internally and with the community).
 </li>
 <li>
 
 Training Resources:
 
 Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.
 </li>
 <li>
 
 Allowances:
 
 Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.
 </li>
 <li>
 
 Home Office Support:
 
 A one-time gift voucher to help you meet your tech needs and set up an ergonomic workspace at home.
 </li>
 <li>
 
 Health Benefits:
 
 Private health insurance coverage for your peace of mind.
 </li>
 <li>
 
 Birthday Leave:
 
 An extra day of leave on your birthday to celebrate your special day.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence (AI) Specialist (Senior) İstanbul-Ankara

robolaunch

<div>
 
 
 3D Artist &amp; Synthetic Data Specialist
 
 
 
 📍 Location: Ankara - METU Technopolis
 
 
 💼 Employment Type: Full-time, On-site
 
 
 🏭 Industry: Artificial Intelligence, Computer Vision, Robotic Automation
 
 
 🤖 Application Domains: Automotive, Home Appliances
 
 
 
 
 
 
 🎯 POSITION OVERVIEW
 
 
 
 We are seeking a talented 3D Artist &amp; Synthetic Data Specialist to join our AI and Computer Vision R&amp;D team. You will create photorealistic synthetic training data and build immersive virtual environments that power our next-generation AI models.
 
 
 Working with industry-leading simulation and rendering platforms, you'll combine artistic creativity with technical expertise to generate high-quality training datasets that bridge the gap between simulation and reality.
 
 
 
 
 
 
 ✅ QUALIFICATIONS
 
 
 
 
 
 
 
 Education &amp; Core Competencies:
 
 
 
 Bachelor's degree in Computer Engineering, Industrial Design, Digital Arts, Game Design, or related field
 
 
 2-3+ years of experience in 3D modeling, texturing, or rendering
 
 
 Ability to balance artistic vision with technical requirements
 
 
 Strong portfolio demonstrating photorealistic 3D work
 
 
 
 
 
 
 3D Modeling &amp; Texturing Tools:
 
 
 
 Advanced proficiency in professional texturing and material authoring software
 
 
 Experience with procedural material creation and shader development
 
 
 3D Modeling: Proficiency in industry-standard CAD and DCC (Digital Content Creation) tools
 
 
 Strong understanding of PBR (Physically Based Rendering) workflows
 
 
 Material creation, optimization, and library management
 
 
 
 
 
 
 Rendering &amp; Simulation Platforms:
 
 
 
 Experience with modern 3D simulation and rendering platforms used in AI/ML workflows
 
 
 Proficiency in professional rendering engines (production or real-time)
 
 
 Knowledge of ray tracing, path tracing, and global illumination techniques
 
 
 Familiarity with real-time rendering pipelines (bonus)
 
 
 
 
 
 
 Technical Skills - Computer Vision &amp; Optimization:
 
 
 
 Understanding of camera parameters, lens characteristics, and optical principles
 
 
 Lighting design expertise (HDRI, studio lighting, natural illumination)
 
 
 Composition principles and camera angle variations
 
 
 Knowledge of image processing fundamentals (color spaces, resolution, sensor characteristics)
 
 
 Familiarity with computer vision libraries and frameworks (bonus)
 
 
 
 
 
 
 Pipeline &amp; Automation:
 
 
 
 Experience with batch rendering and automated data generation pipelines
 
 
 Scripting skills for workflow automation (Python, MEL, MaxScript, or similar)
 
 
 Data formatting, organization, and version control (Git)
 
 
 Understanding of dataset annotation and labeling processes
 
 
 Experience with asset management systems
 
 
 
 
 
 
 Personal Attributes:
 
 
 
 Exceptional attention to detail and aesthetic sensibility
 
 
 Strong problem-solving and analytical thinking
 
 
 Collaborative team player with excellent communication skills
 
 
 Fast learner with passion for emerging technologies
 
 
 Technical documentation skills (English)
 
 
 Ability to iterate based on technical feedback
 
 
 
 
 
 
 💡 RESPONSIBILITIES
 
 
 
 
 
 
 
 Synthetic Data Generation:
 
 
 
 Create photorealistic 3D scenes and images for AI model training
 
 
 Develop synthetic datasets for automotive and home appliance products
 
 
 Generate variations across different materials, lighting conditions, weather scenarios, and camera angles
 
 
 Build procedural content pipelines for dataset diversity and scale
 
 
 Ensure data quality meets computer vision requirements
 
 
 
 
 
 
 3D Asset Development:
 
 
 
 Create high-quality 3D models and textures for industrial products
 
 
 Develop and maintain PBR material libraries
 
 
 Apply realistic surface details, weathering, and wear effects
 
 
 Optimize assets for performance without compromising visual quality
 
 
 Maintain organized asset libraries and documentation
 
 
 
 
 
 
 Visualization &amp; Simulation:
 
 
 
 Build virtual environments in advanced simulation platforms
 
 
 Design virtual camera systems and lighting setups
 
 
 Optimize render settings for quality-speed balance
 
 
 Create physically accurate simulations matching real-world conditions
 
 
 Implement domain randomization techniques
 
 
 
 
 
 
 R&amp;D &amp; Collaboration:
 
 
 
 Work closely with AI and computer vision engineering teams
 
 
 Understand data requirements and deliver appropriate solutions
 
 
 Research and test new tools, techniques, and workflows
 
 
 Contribute to continuous improvement of the data generation pipeline
 
 
 Create technical documentation and knowledge base
 
 
 Participate in dataset validation and quality assurance
 
</div>

3D Artist and Rendering Specialist

Explore 85+ Data scientist in Ankara this November. Find roles across top companies and apply now to boost your career.

85 data scientist jobs IN Ankara

Data Scientist

Senior Data Science Manager

Senior Data Science Manager

Generative AI Scientist, Senior

Data Analyst

Artificial Intelligence (AI) Specialist (Senior) İstanbul-Ankara

3D Artist and Rendering Specialist