business analyst

senior data scientist

crm data analyst

data analyst

data architect

data scientist

Midas Games

<div>
 
 Company Description
 
 
 
 Midas Games is dedicated to redefining the gaming experience with a focus on delivering unparalleled fun and competition. We create games that captivate our users, offering unique and memorable entertainment. By blending innovation and creativity, we aim to set new standards in the gaming industry. At Midas Games, every project reflects our commitment to excellence and player satisfaction.
 
 
 
 Role Description
 
 
 
 This is a full-time on-site role for a Data Scientist located in Istanbul, T&uuml;rkiye. The Data Scientist will analyze and interpret complex data to support game development and optimization. Day-to-day tasks include building predictive models, performing statistical analyses, creating data visualizations, and generating actionable insights to enhance game performance and user experience.
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proficiency in Data Science, Data Analysis, and Data Analytics
 </li>
 <li>
 Expertise in Statistics and Statistical Methods
 </li>
 <li>
 Strong skills in Data Visualization and presenting insights in an understandable format
 </li>
 <li>
 Experience with programming languages such as Python, R, or SQL
 </li>
 <li>
 Strong analytical and problem-solving abilities
 </li>
 <li>
 Bachelor's or higher degree in Data Science, Mathematics, Statistics, or a related field
 </li>
 <li>
 Experience in the gaming industry or with game-related data is a plus
 </li>
 </ul>
</div>

Data Scientist

QNB Türkiye

<div>
 
 
 DATA SCIENTIST
 
 
 
 
 
 
 
 ENHANCE YOUR WORLD WITH AN ENHANCING CAREER
 
 
 
 
 
 
 Are you aware of the power of data analyzing in banking sector which is putting human at the center of the business. Do you trust yourself at creating value at a developing area of one of the oldest and biggest sectors in the World.
 
 
 
 
 
 QNB is always supporting employees who are eager to create a development at their career and the future of the sector. Our human resources policies are aiming to create an equal, fulfilled and empowering working atmosphere for individuals willing to have a satisfying career journey.
 
 
 
 
 
 
 What are the opportunities for you
 
 
 
 
 
 <ul>
 <li>
 Empowering working atmosphere which will appreciate your desire for development
 </li>
 <li>
 Keeping up to date with a progressive sector always looking for a new opportunity
 </li>
 <li>
 Building a career at one of the most trustable and growing sectors.
 </li>
 <li>
 Comfort of working at an environment supporting your happiness and growth
 </li>
 </ul>
 
 
 
 
 
 If you are willing to be a part of this developmental atmosphere
 
 
 
 
 
 
 We are seeking for several data scientists (
 
 junior and mid-level
 
 ) who will help us in discovering the information in vast amounts of data, and making smarter decisions in
 
 QNB R&amp;D Center
 
 . Your focuses will be combining data-driven insights and business knowledge to create analytical solutions for business units and applying machine learning techniques, doing statistical analysis, and building high quality prediction systems integrated with current systems in R&amp;D Center projects. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
 
 
 
 
 
 
 
 Job Description of Our Team:
 
 
 
 
 In order to ensure that process is managed in an accurate and effective way;
 
 <ul>
 <li>
 Designing, developing, and maintaining new and current Dashboards, data models and reports to support business performance evaluations
 </li>
 <li>
 Troubleshooting and adjusting existing data and automated reporting environments
 </li>
 <li>
 Using extensive SQL and code knowledge to derive insights from large datasets in order to solve real-life, fast-paced business problems.
 </li>
 <li>
 Visualizing data through visualization tools and compelling data and portfolio trends to management and business units.
 </li>
 <li>
 Analyzing and extracting data to uncover insights, trends, and opportunities that inform strategic decisions and perform analysis.
 </li>
 <li>
 Collaborating closely with cross-functional teams, particularly IT, to define and execute data analysis projects,
 </li>
 <li>
 Contributing to the development of data analytics strategies aligned with business objectives,
 </li>
 <li>
 Monitoring key performance indicators (KPIs) and providing actionable recommendations based on your analyses,
 </li>
 <li>
 Developing predictive models using various machine learning techniques,
 </li>
 <li>
 Preparing smart variables by performing big data analysis, feature engineering,
 </li>
 <li>
 Keeping up-to-date with latest technology trends, and doing AI projects with Python/R,
 </li>
 <li>
 Establishing connection between the relevant units and with the consulting firms from which support is received in projects, when necessary,
 </li>
 </ul>
 
 
 
 
 
 We are waiting for your application if;
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from a reputable university (preferably in Mathematics, Engineering etc.),
 </li>
 <li>
 Interested in big data, analytics and machine learning subjects,
 </li>
 <li>
 Maximum 4 years of experience in related departments
 </li>
 <li>
 A methodological approach to data by presenting it clearly and effectively to support business decisions
 </li>
 <li>
 Ability to visualize data or use visualization tools,
 </li>
 <li>
 Good command of MS Office programs
 </li>
 <li>
 Good command of SQL for effective data manipulation and querying is a plus
 </li>
 <li>
 Using one of the following modeling programs effectively; SAS, Python, R or SPSS is a plus
 </li>
 <li>
 Fluency in English, both written and spoken
 </li>
 <li>
 Open-minded, strong analytical point of view and problem-solving skills,
 </li>
 </ul>
 
 
 
 
 The future of banking is waiting for you, apply to create an impact on this inspire full journey.
 
</div>

Yıldız Tech

<div>
 
 The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our 80 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 45 factories, 20 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 80 years with our products, services and sustainable social responsibility understanding.
 
 
 
 
 
 
 
 
 Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 Y&inodot;ld&inodot;z Tech's Digital Transformation organization is seeking a
 
 Data Scientist / Senior Data Scientist
 
 to shape the vision, define the strategy, and drive the execution of our data-driven initiatives. In this role, you will understand user needs and business objectives, facilitate the development of data models and analytics solutions, and support data-driven decision-making processes.
 
 
 
 
 
 
 
 
 
 
 
 
 What Awaits You, What Will Be Your Responsibilities?
 
 
 
 
 
 <ul>
 <li>
 
 Researching, designing, implementing, and evaluating
 
 machine learning approaches and models.
 </li>
 <li>
 Assisting in analyzing
 
 large datasets
 
 using statistical techniques and machine learning algorithms.
 </li>
 <li>
 Supporting the development, implementation, and evaluation of
 
 predictive models
 
 and
 
 data-driven solutions
 
 to address business challenges.
 </li>
 <li>
 
 Preprocessing and cleaning raw data
 
 to ensure its quality, integrity, and usability for analysis.
 </li>
 <li>
 Applying
 
 data wrangling techniques
 
 to handle missing values, outliers, and inconsistencies in the data.
 </li>
 <li>
 Creating
 
 visualizations, charts, and dashboards
 
 to communicate insights and findings from data analysis effectively.
 </li>
 <li>
 Collaborating with
 
 senior data scientists, analysts
 
 , and
 
 business stakeholders
 
 to understand project requirements and objectives.
 </li>
 <li>
 Contributing ideas and insights to
 
 team discussions
 
 and brainstorming sessions.
 </li>
 <li>
 Staying updated on the latest
 
 trends, tools
 
 , and techniques in
 
 data science
 
 and
 
 machine learning
 
 .
 </li>
 <li>
 Documenting
 
 analysis methods
 
 , findings, and results in clear and concise reports.
 </li>
 <li>
 Preparing
 
 presentations
 
 and
 
 documentation
 
 to communicate project outcomes to stakeholders and team members.
 </li>
 <li>
 
 Deploying machine learning models
 
 into production environments using containerization, orchestration, and model serving frameworks.
 </li>
 <li>
 Exploring, fine-tuning, and applying
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI solutions
 
 to address business needs and automation opportunities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What will be the qualifications we expect from you?
 
 
 
 
 
 <ul>
 <li>
 BS Degree in Statistics, Computer Science/Engineering, Industrial Engineering (or other related engineering fields).
 </li>
 <li>
 Good command of SQL.
 </li>
 <li>
 Strong programming and scripting skills in
 
 Python
 
 (packages: pandas, NumPy, matplotlib, scikit-learn, TensorFlow, PySpark, etc.).
 </li>
 <li>
 Minimum
 
 3 / 5 years of experience
 
 in related fields.
 </li>
 <li>
 Hands-on project experience in some of the following areas:
 </li>
 <li>
 
 Predictive analytics
 
 : cross-sell/up-sell modelling, churn prediction, demand forecasting, time series analysis.
 </li>
 <li>
 
 Customer analytics
 
 : segmentation, recommendation systems.
 </li>
 <li>
 
 AI and machine learning applications
 
 : image processing, natural language processing (NLP).
 </li>
 <li>
 Excellent command of English.
 </li>
 <li>
 Ability to manage a variety of cross-organizational projects (scope, stakeholders, desired outcomes), working closely with a broad range of internal and external teams.
 </li>
 <li>
 Effective communication skills.
 </li>
 <li>
 Analytical perspective.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 The following qualifications are a plus:
 
 
 
 
 
 <ul>
 <li>
 Understanding and hands-on experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 , including
 
 fine-tuning
 
 ,
 
 embedding models
 
 ,
 
 prompt engineering
 
 , or
 
 agent orchestration
 
 (e.g., LangChain, OpenAI APIs, Hugging Face Transformers).
 </li>
 <li>
 Hands-on experience in deploying machine learning models using tools such as
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 CI/CD pipelines
 
 (e.g., Jenkins, GitLab CI).
 </li>
 <li>
 Familiarity with
 
 model serving frameworks
 
 such as
 
 MLflow
 
 ,
 
 FastAPI
 
 , or
 
 TorchServe
 
 .
 </li>
 <li>
 Practical experience with cloud platforms such as
 
 AWS
 
 and/or
 
 Azure
 
 , especially in
 
 infrastructure management
 
 ,
 
 data storage
 
 ,
 
 networking
 
 , and
 
 resource provisioning
 
 (e.g., S3, Blob Storage, EC2, VMs, IAM).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Which skills will highlight you?
 
 
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking skills.
 </li>
 <li>
 Effective communication and collaboration abilities.
 </li>
 <li>
 Ability to manage and prioritize multiple projects and tasks simultaneously.
 </li>
 <li>
 Hands-on experience in
 
 deploying machine learning models
 
 into production environments.
 </li>
 <li>
 Curiosity and practical experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 .
 </li>
 <li>
 Team spirit and leadership in collaborative environments.
 </li>
 <li>
 Proficiency in MS Office applications.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ; https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 
</div>

Data Scientist / Senior Data Scientist

arabam.com

<div>
 
 We are looking for a Data Scientist.
 
 
 
 
 
 
 
 
 
 About the Company
 
 
 
 Arabam.com, the leading auto classifieds marketplace of Turkey, was established in 2000 and joined the iLab Holding family in 2016.
 
 
 The arabam.com team, working with the mission to make buying and selling vehicles from the Internet much more reliable, easier and more comfortable, aims to improve the users experience with new functions continuously.
 
 
 Those who want to sell their car or who want to buy a car can make transactions anytime, anywhere.
 
 
 
 
 <ul>
 <li>
 7 million users per month,
 </li>
 <li>
 Over 200 million page views,
 </li>
 <li>
 7000+ car dealer members,
 </li>
 <li>
 6 million individual members,
 </li>
 <li>
 92% mobile traffic.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 Stay open to learn and be a great team player with good communication skills (not a super star),
 </li>
 <li>
 Be a lifelong learner and take responsibility.
 </li>
 <li>
 Able to analyze and implement solutions to presented problems while satisfying the user&rsquo;s needs,
 </li>
 <li>
 Write code that is maintainable and highly reliable,
 </li>
 <li>
 Have strong problem-solving skills,
 </li>
 <li>
 Have the ability to multi-task and prioritize work as necessary,
 </li>
 <li>
 Enjoy collaboration with a team to successfully complete projects.
 </li>
 <li>
 Working with cross functional teams.
 </li>
 <li>
 Experience in a startup is a plus,
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If You Have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Statistics, Mathematics, Econometrics, Computer Science, or a related field (or equivalent experience),
 </li>
 <li>
 3+ years of experience in a similar role,
 </li>
 <li>
 Proven experience in building advanced predictive analytics models and working with large datasets,
 </li>
 <li>
 Fluency in
 
 Python
 
 and experience with data science libraries,
 </li>
 <li>
 Hands-on experience with deep learning architectures such as
 
 CNN
 
 ,
 
 RNN
 
 ,
 
 LSTM
 
 ,
 </li>
 <li>
 Hands on experience with libraries like
 
 Tensorflow, Keras, PyTorch,
 
 etc.
 </li>
 <li>
 Strong command of
 
 SQL
 
 and experience with
 
 big data frameworks
 
 such as
 
 Hadoop
 
 and
 
 Spark
 
 ,
 </li>
 <li>
 Applied machine learning experience in real-world business scenarios,
 </li>
 <li>
 Eagerness to learn and adapt to new technologies and methodologies,
 </li>
 <li>
 Ability to work collaboratively across teams, gather and interpret data, and clearly communicate insights to both technical and non-technical stakeholders,
 </li>
 <li>
 Experience with computer vision is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Understand complex operational and business problems, and take full ownership of turning large datasets into actionable insights using statistical methods and machine learning techniques,
 </li>
 <li>
 Conduct advanced statistical analyses to identify trends, evaluate performance, and generate data visualizations,
 </li>
 <li>
 Mine and analyze data from internal databases to support product development, optimize marketing strategies, and improve business outcomes,
 </li>
 <li>
 Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes,
 </li>
 <li>
 Extract meaningful information from historical data to automate and optimize critical processes,
 </li>
 <li>
 Develop monitoring tools and processes to track model performance and ensure data quality,
 </li>
 <li>
 Perform pre- and post-analysis of projects and newly launched features,
 </li>
 <li>
 Collaborate within cross-functional squads &mdash; including developers, product managers, and domain experts - to integrate models into production systems and ensure business impact.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What Do We Offer:
 
 
 <ul>
 <li>
 We continue to work remotely due to a pandemic since March 2020,
 </li>
 <li>
 The development team is consisting of people who are collaborative, sincere, talented and willing to learn and share new things,
 </li>
 <li>
 We are a rapidly growing company, this means a lot of opportunities
 </li>
 <li>
 We support developers to improve their skills, the candidate will have access to online learning courses,
 </li>
 <li>
 We encourage developers to test and implement cutting edge technologies,
 </li>
 <li>
 We have a medium publication that you can have a look: medium-arabamlabs
 </li>
 </ul>
 
 
 
 
 arabam.com olarak ki&scedil;isel verilerinizi nas&inodot;l i&scedil;ledi&gbreve;imiz hakk&inodot;nda detayl&inodot; bilgi i&ccedil;in l&uuml;tfen a&scedil;a&gbreve;&inodot;daki linkte yer alan Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu &Ccedil;er&ccedil;evesinde Ayd&inodot;nlatma Metnimizi inceleyiniz.
 
 
 
 https://www.arabam.com/kisisel-bilgilerin-korunmasi
 
 
 
 Please check the below link to see our Candidate Privacy Notice for detailed information on how we process your personal data.
 
 
 
 https://www.arabam.com/kisisel-bilgilerin-korunmasi
 
 
</div>

Accenture

<div>Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.
What&rsquo;s in it for you?
&#10024;Work-Life Balance: Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours
Health &amp; Wellness: Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program
Transportation: Shuttle service / Transportation support
 Financial Benefits: Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
Professional Development: Learning budget / Personal career development with People Leads / Buddy Program
Work Environment: Working on international projects with a globally diverse team / A fast-paced technology environment</div>
 
<div>We are looking for Data Scientists, who already enjoy working with high-end technologies on various exciting multinational projects!
Key Responsibilities:<ul><li>
Initiating and participating in projects in the area of prediction, optimization, and process improvements,</li><li>
Collecting and interpreting data,</li><li>
Automating and integrating processes,</li><li>
Researching solutions to overcome data analytics challenges,</li><li>
Developing complex mathematical models that integrate business rules and requirements,</li><li>
Proficient in writing analytical algorithms and knowing when to apply them. Having an in depth understanding of algorithms used in the field,</li><li>
Communicating and meeting with engineers and other stakeholders,</li><li>
Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders,</li><li>
Capable of taking a Data Science project end-to-end.</li></ul> 
Required Qualifications:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in Computer Science or related disciplines,</li><li>
3+ years industry experience,</li><li>
Proficient in one or more data science related programming languages such as Python, R, etc.,</li><li>
Excellent understanding and hands on experience in statistical modeling, machine learning algorithms, deep learning, and basic AI practices,</li><li>
Familiarity with Apache big data family stack (Hadoop, Hive, Kafka, Spark ..),</li><li>
Ability to understand and manipulate unstructured data from different platforms,</li><li>
Experience in using query languages such as SQL, Hive, Pig,</li><li>
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase,</li><li>
Excellent problem-solving skills and a high degree of intellectual horsepower,</li><li>
Strong written and verbal communication skills in English.</li></ul>
Ready to make an impact? If you are excited about working with cutting-edge technology and participating in thrilling international projects, we want to hear from you! Join Accenture and achieve your goals.
#GreatPlaceToWork
Apply Now!</div>

Bilyoner

<div>
 
 We are looking for a Senior Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
 
 
 
 
 <ul>
 <li>
 Min. 3 year of relevant experience,
 </li>
 <li>
 PhD, 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>

Senior Data Scientist

bitaksi

<div>
 
 
 About bitaksi:
 
 
 
 bitaksi is Turkey's leading taxi-hailing app, transforming urban mobility with innovative technology. Over the past 12 years, we've grown from a small startup to a pivotal part of people's daily lives, providing safe, easy, and modern transportation solutions.
 
 
 
 
 
 
 Company Vision:
 
 
 
 Our vision is to transform the way people move by leveraging cutting-edge technology and creating seamless experiences for both riders and drivers. We aim to be the preferred transportation platform of choice, setting new industry standards and reshaping urban mobility.
 
 
 
 
 
 
 Why Choose bitaksi:
 
 
 
 Impactful Work: By joining bitaksi, you will have the opportunity to work on projects that have a direct impact on the lives of millions of people. Your contributions will help shape the future of transportation and make a difference in the way people navigate their daily lives.
 
 
 Innovation and Technology: Be part of a dynamic team that leverages the latest technology to develop user-centric solutions in a rapidly evolving industry.
 
 
 
 
 
 
 
 
 
 As a Data Scientist at Bitaksi, you'll be building and deploying machine learning models to solve critical business challenges across fraud detection, customer optimization, and recommendation systems while collaborating closely with stakeholders to translate their needs into scalable data science solutions.
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field (Computer Science, Mathematics, Statistics, Engineering etc.)
 </li>
 <li>
 5+ years of hands-on experience in data science roles
 </li>
 <li>
 Advanced proficiency in Python and SQL for data analysis and modeling
 </li>
 <li>
 Proven experience developing and deploying machine learning models in production
 </li>
 <li>
 Strong statistical foundation including predictive modeling, optimization, and data mining
 </li>
 <li>
 Experience with cloud platforms (AWS preferred) and containerization technologies
 </li>
 <li>
 Familiarity with API development frameworks (FastAPI, Flask, or similar)
 </li>
 <li>
 Demonstrated ability to translate business problems into data science solutions
 </li>
 </ul>
 
 
 
 
 
 Opportunities for you:
 
 
 <ul>
 <li>
 Impacting on the solid data products and solutions from day one
 </li>
 <li>
 Working on cutting-edge technologies and easy-to-access data platform
 </li>
 <li>
 Being able to analyze a wide variety of data types
 </li>
 <li>
 Taking responsibility
 </li>
 </ul>
 
 
 
 
 
 What we offer?
 
 
 <ul>
 <li>
 Open communication, teamwork and strong company culture of continuous development
 </li>
 <li>
 Competitive salary
 </li>
 <li>
 Private health insurance (family included)
 </li>
 <li>
 Meal card
 </li>
 <li>
 Monthly IstanbulCard reimbursement
 </li>
 <li>
 We care about your wellbeing; free psychological counseling, legal advice, financial advice etc.
 </li>
 <li>
 Team and company activities for motivation
 </li>
 <li>
 Discounted gym membership
 </li>
 <li>
 Online education platforms
 </li>
 </ul>
 
 
 
 
 
 Join Us:
 
 Become part of a team that&rsquo;s redefining urban mobility. Together, let&rsquo;s create innovative solutions that enhance the lives of millions.
 
 
 
 
 
 
 Under the scope of your application, your personal data submitted to us will be processed in accordance with the Law on the Protection of Personal Data No. 6698 for the purposes of managing and evaluating our recruitment processes and contacting you when necessary. You can access our information text on the processing of your personal data via the following link :
 
 https://www.bitaksi.com/en/personal-data-protection-policy
 
 
 
</div>

Explore 649+ Data scientist in Istanbul this November. Find roles across top companies and apply now to boost your career.

649 data scientist jobs IN Istanbul

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