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ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.
 
 
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
 
 
 
 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 
 
 ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
 
 
 We value strong work ethics, knowledge sharing and flexibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of several Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics). as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 Roles and responsibilities
 
 
 
 As a Chapter Lead you have a dual role. You build a strong-identity team that apply their diverse skills and perspectives to achieve common goals, actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship, in this instance for Advanced Analytics. On the other hand, you are spending the majority of your time working together with your team as a contributor on the delivery as well. As a Chapter Lead you have the complete overview and insight on the capabilities, expertise and experience of your chapter members and you will be responsible to decide on allocation of your chapter members capacity for the global backlog delivery demand coming from the Product Lead and Tribe Lead.
 
 
 
 
 
 Role Profile
 
 
 
 As Chapter Lead Data Science, you report to the Tribe Lead Retail Banking Analytics.
 
 
 
 
 
 Your responsibilities include:
 
 
 <ul>
 <li>
 Together with the Tribe Lead and Product Lead develop a view on the future of the DS capability craftsmanship and drive continues development of your chapter members
 </li>
 <li>
 Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
 </li>
 <li>
 Together with the Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities
 </li>
 <li>
 Steer and develop your chapter members to meet both their career goals and the organisation&rsquo;s goals, driving engagement and results via inspiring leadership.
 </li>
 <li>
 Contribute to the success of the projects you are assigned to by doing hands-on data scientist work.
 </li>
 <li>
 Hands-on and multiple retail DS project management in lending, personalization and pricing domains
 </li>
 <li>
 Act as an expert on the craftmanship development needs for Data Science
 </li>
 <li>
 Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these
 </li>
 <li>
 Work with your colleagues on the (global) backlog deliveries
 </li>
 <li>
 Attract and retain the best talents, leading interviews when needed for your chapter
 </li>
 </ul>
 
 
 
 
 How to succeed
 
 
 
 
 
 
 Education:
 
 Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Management experience in an Agile organization. Management experience in a matrix set up is a plus.
 </li>
 <li>
 Strong analytic skills.
 </li>
 <li>
 Experience as a data scientist in retail domain.
 </li>
 <li>
 Experience/ knowledge of the business of the Tribe you work in.
 </li>
 </ul>
 
 
 Competencies:
 
 
 <ul>
 <li>
 A proven track record in analytics, backlog management and resource planning
 </li>
 <li>
 Ability to lead teams of experts working in a highly complex and dynamic environment promoting awareness in others
 </li>
 <li>
 Achieve optimum results by empowering teams
 </li>
 <li>
 Passionate about developing teams to achieve craftmanship and personal development.
 </li>
 <li>
 A mindset that focusses on continuous improvement.
 </li>
 <li>
 Excellent level of python and spark
 </li>
 <li>
 Excellent level of English
 </li>
 <li>
 Agile/Scrum experience
 </li>
 </ul>
 
 
 
 
 What do we offer:
 
 
 
 At ING Hubs Turkiye we want your work to fulfill you in every way, and that is why we take care of even the smallest detail. Check out what is waiting for you;
 
 
 At our organization, you first be yourself, then you are ING&rsquo;er, therefore;
 
 
 &middot; 14 days of welcome leave days even in your first year! Don&rsquo;t postpone your dreams!
 
 
 &middot; We provide self-driven career opportunities where you have never
 
 
 &middot; Personal growth &amp; challenging work with endless opportunities to realize your ambitions
 
 
 &middot; An informal, dynamic environment with innovative colleagues supporting your endeavors
 
 
 &middot; Take a part in global projects and/or career opportunities
 
 
 &middot; Have fun with various communication activities &amp; celebrations
 
 
 &middot; We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)
 
 
 &middot; Private Pension plan for your future dreams
 
</div>

Chapter Lead Data Scientist

Sigortam.net

<div>
 
 
 We are embarking on an exciting journey at Sigortam.net!
 
 As the first and largest insurance marketplace in Turkey, Sigortam.net currently cooperates with 25+ insurance companies to serve 10+ million customers and this is just the beginning.
 
 Our dream is to become the leading tech company in the region
 
 , which brings a positive impact to the insurance sector through better customer experience driven by technology.
 
 
 
 
 
 
 We strongly believe in the value of putting people first
 
 &ndash; our colleagues and customers &ndash; and are rebuilding the organization with exceptional talent.
 
 We are a team of empowered individuals with a growth mindset
 
 and desire to learn in a fast-paced environment.
 
 We are looking to welcome colleagues who will take full ownership
 
 , challenge the status-quo, persist in the face of setbacks and test new things.
 
 Fast and data-driven decision-making is part of our DNA
 
 : We believe in the value of making fast decisions, learning and improving.
 
 
 
 
 
 
 At Sigortam.net, we succeed or fail as a team
 
 . Our colleagues do not feel threatened by the success of others, but rather find inspiration in them.
 
 Humility is a "must have"
 
 quality we seek in every candidate we meet. If you are up for this challenge and exciting journey, come and join us!
 
 
 
 
 
 Sigortam.net is currently seeking a
 
 "Data Scientist"
 
 to join their Data Analytics team. In this role, you will play a key part in developing and optimizing
 
 machine learning models, data pipelines, and analytical frameworks
 
 that power our decision-making processes. This position requires a blend of
 
 technical expertise and strategic thinking
 
 , with a strong focus on leveraging
 
 data science and AI-driven insights
 
 to enhance business outcomes.
 
 
 
 
 
 The
 
 Data Analytics Chapter
 
 at
 
 Sigortam.net
 
 is responsible for shaping and executing the company's
 
 data analytics strategy
 
 . Our mission is to drive
 
 data-driven decision-making
 
 with a strong customer focus while fostering a culture of data literacy across the organization. We actively promote the adoption of
 
 data-driven solutions
 
 to enhance business impact.
 
 
 
 
 
 We are looking for a
 
 Data Scientist
 
 to join our team and contribute to our data-driven initiatives.
 
 
 
 
 
 
 Your profile:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 
 
 or a related STEM discipline with strong quantitative skills.
 </li>
 <li>
 
 1&ndash;3 years
 
 of hands-on experience in
 
 Data Science
 
 ,
 
 Machine Learning
 
 , or
 
 AI
 
 projects
 </li>
 <li>
 
 Strong proficiency in Python and SQL
 
 is essential, with hands-on experience in
 
 data manipulation (Pandas, NumPy), machine learning (Scikit-learn), and working with large-scale datasets
 
 .
 </li>
 <li>
 
 Hands-on experience with LLM ecosystems
 
 (OpenAI, Hugging Face, LangChain, vector DBs such as Pinecone or Milvus) and prompt engineering / fine-tuning is a strong plus.
 </li>
 <li>
 Solid understanding of
 
 statistical modeling
 
 ,
 
 data mining
 
 , and
 
 ML lifecycle
 
 : from feature engineering to model tuning, evaluation, and deployment
 </li>
 <li>
 
 Familiarity with MLOps practices
 
 , such as
 
 model monitoring, versioning, automated retraining, and deployment pipelines
 
 . Experience with
 
 MLflow
 
 for experiment tracking, model management, and lifecycle automation is a plus
 </li>
 <li>
 
 Experience in managing and optimizing Datamart structures
 
 , ensuring data integrity, performance, and scalability
 </li>
 <li>
 Comfortable building and updating dashboards using
 
 Power BI
 
 (or similar tools); knowledge of visualization libraries such as matplotlib, seaborn, or plotly is a plus
 </li>
 <li>
 Excellent communication skills, capable of simplifying complex information into actionable and executable points for both
 
 C-level executives
 
 and
 
 business units
 
 </li>
 <li>
 Ability to extract valuable insights from data and adeptly craft engaging narratives that truly resonate with
 
 business stakeholders
 
 through
 
 powerful storytelling
 
 </li>
 <li>
 Experience with
 
 Git
 
 </li>
 <li>
 
 Agile
 
 methodology knowledge is a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Your role:
 
 
 <ul>
 <li>
 
 Conduct exploratory data analysis
 
 
 (EDA)
 
 to gain deep insights into the dataset, enabling effective evaluation and drawing meaningful conclusions.
 </li>
 <li>
 Collaborate with cross-functional teams (product, growth, engineering, operations) to
 
 translate business needs into data solutions
 
 , uncover customer issues, and develop measurable impact.
 </li>
 <li>
 Take end-to-end ownership of the
 
 analytics and modeling lifecycle
 
 &mdash;from problem framing to deployment&mdash;ensuring solutions are robust, scalable, and aligned with business goals.
 </li>
 <li>
 
 Develop and maintain machine learning models,
 
 ensuring they remain
 
 accurate
 
 
 and
 
 
 relevant
 
 by monitoring performance, detecting drift, and retraining when necessary.
 </li>
 <li>
 
 Implement and oversee MLOps processes
 
 , including
 
 model deployment, versioning, and automation,
 
 to ensure models are efficiently integrated into
 
 production environments.
 
 </li>
 <li>
 
 Design and deploy LLM-powered solutions
 
 such as retrieval-augmented generation pipelines (RAG), document Q&amp;A systems, and customer service chatbots that drive internal efficiency and enhance customer experience.
 </li>
 <li>
 Proactively explore emerging techniques in
 
 ML and Generative AI
 
 , especially those applicable to the insurance domain, and champion their adoption where they create value.
 </li>
 </ul>
 
 
 
 
 
 
 
 Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the
 
 https://www.sigortam.net/calisan-adayi-aydinlatma-metni/
 
 link.
 
</div>

Data Scientist

Dream Games

<div>
 
 We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
 </li>
 <li>
 Monitoring the integrity and validity of the reported data
 </li>
 <li>
 Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience in prediction, modeling, and forecasting
 </li>
 <li>
 Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
 </li>
 <li>
 Advanced SQL skills
 </li>
 <li>
 High proficiency in Python or R
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Appreciation and understanding of teamwork
 </li>
 </ul>
</div>

Figopara

<div>
 
 
 About Figopara
 
 
 
 
 
 
 Figopara is a venture-backed fintech platform helping businesses overcome cash flow gaps through digital financing. From invoice-based finance to credit scoring, we enable SMEs to grow with financial ease.
 
 
 We are looking for a
 
 Data Scientist (Credit Risk)
 
 to be part of our growing team in Turkey. Our mission is to build advanced credit risk models that reduce portfolio risk and support healthy growth in the fintech ecosystem.
 
 
 
 
 
 
 What&rsquo;s special about this position?
 
 
 
 
 
 
 In this role, you will develop and improve end-to-end credit scoring (PD) and credit limit models for SME loans, reducing portfolio risk through NPL (non-performing loan) prediction and supporting sustainable growth.
 
 <ul>
 <li>
 Lead the model lifecycle: data exploration &rarr; feature engineering &rarr; modeling/validation &rarr; deployment &rarr; monitoring and improvement.
 </li>
 <li>
 Prepare and validate data in MSSQL Data Warehouse, ensuring quality and consistency.
 </li>
 <li>
 Align scoring and limit outputs with credit policies and business rules.
 </li>
 <li>
 Work closely with cross-functional teams.
 </li>
 <li>
 Interpret financial statements and ratios, turning them into actionable business insights.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Industrial Engineering, Statistics, Mathematics, or a related field.
 </li>
 <li>
 3+ years of experience in data science, with hands-on practice in credit risk.
 </li>
 <li>
 Strong knowledge of Python and SQL.
 </li>
 <li>
 Experience with ML libraries such as scikit-learn, XGBoost, LightGBM.
 </li>
 <li>
 Experience with FastAPI and Docker for model deployment.
 </li>
 <li>
 Solid understanding of statistics and statistical modeling.
 </li>
 <li>
 Experience with imbalanced learning and explainability techniques (e.g., SHAP).
 </li>
 <li>
 Knowledge of financial statement analysis and credit risk methodologies.
 </li>
 <li>
 Fluent in English.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re ready to bring your data science skills to the fintech world and make a real impact &rarr; let&rsquo;s talk!
 
</div>

Data Scientist (Credit Risk)

Bilyoner

<div>
 
 We are looking for a Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
 
 
 
 
 <ul>
 <li>
 Max. 4 year of relevant experience,
 </li>
 <li>
 MS or Bachelors degree in Computer Science, Statistics or other quantitative field,
 </li>
 <li>
 Experience in building Algorithms from scratch and take it to production in a scalable way,
 </li>
 <li>
 Extensive practical hands-on experience in exploratory data analysis,
 </li>
 <li>
 The clear understanding of modern machine learning and statistical analysis methods,
 </li>
 <li>
 Proven experience at SQL and programming language Python,
 </li>
 <li>
 Interpret data, analyze results using statistical techniques and develop interactive dashboards, reports etc.,
 </li>
 <li>
 Provide technical expertise on data storage structures, data mining, data cleansing and data visualization.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ayd&inodot;nlatma Metni
 
 
 
 
 https://bilyoneradmins-my.sharepoint.com/:w:/g/personal/apply_bilyoner_com/EVkBNXP6V3FJss0cuCBoqIkB7OoIg1U1M4WtwWRvpenQfQ?e=EbB2ks
 
 
</div>

Sabanci University

<div>
 
 We are looking for a Data Analyst and Scientist with the following qualifications to work in the Sabanc&inodot; University Digital Transformation Unit.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (preferably a Master&rsquo;s) in Statistics, Mathematics, Computer Science, or a related field,
 </li>
 <li>
 Proficiency in programming languages such as SQL, Python (pandas, scikit-learn, NumPy, matplotlib), and R,
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Power BI, and Microsoft Fabric,
 </li>
 <li>
 Strong knowledge of statistical modeling and machine learning algorithms,
 </li>
 <li>
 Experience working with cloud data platforms (e.g., Google BigQuery, AWS Redshift, Microsoft Azure),
 </li>
 <li>
 Excellent analytical thinking and strong attention to detail,
 </li>
 <li>
 Preferably, hands-on experience with machine learning frameworks such as TensorFlow or PyTorch,
 </li>
 <li>
 Preferably, experience in Agent Projects,
 </li>
 <li>
 Strong English communication skills, both written and verbal,
 </li>
 <li>
 Experience or demonstrated interest in the education sector is an advantage,
 </li>
 </ul>
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 Analyze internal datasets and provide data-driven insights to support business needs,
 </li>
 <li>
 Design and develop dashboards and visual reports using tools such as Power BI, Fabric, or Tableau,
 </li>
 <li>
 Create statistical analyses and basic machine learning models including regression, classification, and clustering,
 </li>
 <li>
 Perform data analysis and modeling using Python or R,
 </li>
 <li>
 Monitor and improve the performance of developed models,
 </li>
 <li>
 Lead and coordinate Agent Projects,
 </li>
 <li>
 Collaborate closely with business units to support data-driven decision-making processes,
 </li>
 </ul>
 
 
 
 
 
 What we will offer you?
 
 
 <ul>
 <li>
 Working in Sabanc&inodot; University Campus with collaborative work environment and gym &amp; social areas,
 </li>
 <li>
 A competitive salary and a robust compensation package including, employer sponsored family included private health insurance, life insurance and private pension benefits,
 </li>
 <li>
 Hybrid working,
 </li>
 <li>
 Performance Reward policy,
 </li>
 <li>
 Transportation and university cafeteria,
 </li>
 <li>
 Meal allowance, communication and internet support for hybrid working days,
 </li>
 <li>
 Opportunity to study a master&rsquo;s degree at the university and Erasmus Staff Mobility Programme,
 </li>
 <li>
 English language course,
 </li>
 <li>
 On-campus healthcare, library,
 </li>
 <li>
 Several discounts including pre-school and SA Group company services,
 </li>
 <li>
 Social clubs and activities.
 </li>
 </ul>
 
 
 
 
 ''Sabanc&inodot; University is committed to the principle of equal opportunity and equal treatment in education and employment. The University respects all individuals without any discrimination of gender, religion, national and ethnic origin, race, color, physical disability, physical appearance, marital or parental status, sexual orientation, age, or political affiliation in the administration of its educational, admission and employment policies, and its scholarship and university-sponsored programs.''
 
</div>

Data Analyst and Scientist

Oredata Yazılım Anonim Şirketi

<div>OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
We are looking for a Senior Data Scientist to join our team within a leading company in the manufacturing industry.
Responsibilities:<ul>
<li>Collaborate closely with cross-functional teams to understand the business challenges and formulate data-driven solutions accordingly.</li>
<li>Analyze large datasets to extract meaningful patterns, valuable insights and inferences.</li>
<li>Design, develop and deploy advanced analytical models to solve complex problems.</li>
<li>Employ scientific approach for conducting experimental design and rapid prototyping.</li>
<li>Lead the data-driven decision-making process, from data preparation and analysis to implementation and monitoring the results.</li>
<li>Iteratively improve the solutions to meet the highest-class standards and productionize.</li>
<li>Translate complex data analysis into clear, actionable recommendations for both technical and non-technical audiences.</li>
<li>Manage data science projects, ensuring they meet business requirements and are delivered on time.</li>
<li>Research the best practices to build the next generation analytics products and services.</li>
</ul>Requirements:<ul>
<li>Bachelor&rsquo;s and/or MSc/PhD degree in Engineering, Data Science, or a related quantitative discipline.</li>
<li>At least 7-10 years of working experience in the field of data science.</li>
<li>Demonstrated track record of delivering impactful, independent projects in prior roles.</li>
<li>Manufacturing process domain expertise is a plus.</li>
<li>Advanced proficiency in SQL and Python.</li>
<li>Solid hands-on experience in machine learning and other advanced modeling approaches to extract and automate valuable insights from data.</li>
<li>In-depth knowledge of causality and statistical inference.</li>
<li>Expertise in statistical modeling and optimization techniques.</li>
<li>Experience in time series modeling is a plus.</li>
<li>Experience in building MLOps pipelines is a plus.</li>
<li>Eagerness to learn new technologies and domains, a can-do attitude.</li>
<li>Having strong desire to take initiative and solve real world problems.</li>
<li>Multi-disciplinary and cooperative ability to communicate effectively with diverse domains.</li>
<li>Excellent verbal and written communication skills in English.</li>
<li>No restrictions to travel in and abroad.</li>
</ul>Why Oredata?<ul>
<li>Remote working and flexible time off</li>
<li>Open communication, flexibility and start-up spirit</li>
<li>Learning &amp; Development opportunities for both personal and professional growth</li>
<li>Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)</li>
<li>Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)</li>
<li>Dynamic work ecosystem where you can take initiative and responsibility</li>
<li>Opportunity to work on international projects</li>
<li>Private Health Insurance</li>
<li>Birthday Leave Policy</li>
</ul>Ki&#351;isel verileriniz i&#351;e al&#305;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&#305;yla veri sorumlusu s&#305;fat&#305;yla &#351;irketimiz Oredata Yaz&#305;l&#305;m A.&#350;. taraf&#305;ndan i&#351;lenecektir. Ki&#351;isel verilerinizin i&#351;lenmesi ve haklar&#305;n&#305;zla ilgili detayl&#305; bilgiye https://oredata.com/personal-data-protection-policy/ ba&#287;lant&#305;s&#305; &uuml;zerinden ula&#351;abilirsiniz.</div>

Senior Data Scientist

Explore 637+ Chapter lead data scientist in Istanbul this September. Find roles across top companies and apply now to boost your career.

637 chapter lead data scientist jobs IN Istanbul

Chapter Lead Data Scientist

Data Scientist

Data Scientist

Data Scientist (Credit Risk)

Data Scientist

Data Analyst and Scientist

Senior Data Scientist