data scientist

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data scientist / senior data scientist Jobs in Istanbul

data scientist / senior data scientist

data science specialist

<div>
 
 📣We are looking for a
 
 Data Science Specialist
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Provide day-to-day leadership of the Data Science team, including sprint planning, retrospectives, mentoring, and promoting a culture of continuous improvement and delivery excellence.
 </li>
 <li>
 Translate strategic goals into actionable data science projects and team roadmaps.
 </li>
 <li>
 Oversee the design, development, and deployment of predictive models, including recommendation engines, churn prediction, demand forecasting, and pricing optimization.
 </li>
 <li>
 Promote best practices in model governance, data quality, and reproducibility.
 </li>
 <li>
 Discover and prioritize new use cases where machine learning can drive measurable business impact, such as automating player segmentation or detecting promotional abuse.
 </li>
 <li>
 Partner closely with Data Engineering teams to ensure scalable and reliable model deployment, aligning solutions with the company&rsquo;s data infrastructure and operational flows.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 3+ years of experience in data science or analytics.
 </li>
 <li>
 Proven experience in e-commerce, retail, or digital consumer businesses.
 </li>
 <li>
 Strong knowledge of machine learning, experimentation design, causal inference, and predictive modeling.
 </li>
 <li>
 Knowledge of Python / R and data modeling + experience in AI / ML, service connection skills with IT teams
 </li>
 <li>
 Strategic thinker who can translate business goals into actionable data projects.
 </li>
 <li>
 Passionate about mentoring and developing a high-performing team.
 </li>
 <li>
 Experience with recommendation systems, personalization engines, or large-scale e-commerce platforms.
 </li>
 <li>
 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
</div>

Data Science Specialist

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>

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>

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at Turknet
 
 
 
 We&rsquo;re looking for an experienced Data Scientist to join our game-changing team.
 
 
 
 
 
 
 📱 What You'll Do
 
 
 <ul>
 <li>
 Understand business objectives and data requirements, and transform them into valuable insights and analytical solutions.
 </li>
 <li>
 Manage data analysis processes and prepare datasets for analysis.
 </li>
 <li>
 Process large datasets using big data technologies.
 </li>
 <li>
 Develop predictive models, classifications, and clustering solutions using machine learning algorithms.
 </li>
 <li>
 Present and communicate data results effectively with visualizations.
 </li>
 </ul>
 
 
 
 
 
 👩 👨 Who You Are
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Computer Engineering, Statistics, Mathematics, or a similar quantitative discipline.
 </li>
 <li>
 Extensive experience with SQL. Proficiency in Python and related data analysis, data manipulation, and modeling libraries (Pandas, NumPy, Scikit-learn, etc.).
 </li>
 <li>
 Strong understanding of the Data Science model development lifecycle (data understanding, data cleaning, feature engineering, model training, evaluation, and monitoring).
 </li>
 <li>
 Hands-on experience with machine learning models, statistical methods, and optimization algorithms for real-world problems.
 </li>
 <li>
 Experience with big data technologies is a plus.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Scientist, so you should have 3+ years of experience in a Data Science role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 
 
 
 🚀Our Recruitment Process
 
 
 
 We are guided by our goal of creating an equitable and inclusive experience where candidates from a wide range of backgrounds have the opportunity to succeed. We do not imagine a complicated recruitment process. That's why we care about the process being short, fast and transparent.
 
 
 1.Application: You can apply for open positions via Linkedin.
 
 
 2.First Interview: First of all, we want to evaluate your skills and see if they are compatible with TurkNet values.
 
 
 3.Case study: For some positions we may need to test technical skill.
 
 
 4.Second Interview: We would like to examine your technical skills in depth with our leader(s).
 
 
 5.Welcome to TurkNet!
 
 
 
</div>

Migros One

<div>
 
 
 Who are we?
 
 
 
 Our business is technology, food and retail. We are a young team that combines all resources with technology; Our goal is to provide an excellent e-commerce service to meet your needs. In short, you can call us Migros One. 😉
 
 
 
 
 
 Today, as a team that holds the
 
 &ldquo;Great Place To Work&rdquo;
 
 certificate with the contributions of our employees we produce, learn and develop together. We rediscover our passion for our business every day and build Migros One culture together.
 
 
 
 
 
 
 Our Culture
 
 
 
 We are #ONE to create a better tomorrow for our community. Our way of working includes four core values that we strive to act:
 
 
 
 
 
 
 1. Take accountability with passion
 
 
 
 
 2. Drive innovation with curiosity
 
 
 
 
 3. Make a difference for our customers
 
 
 
 
 4. Create open communication
 
 
 
 
 
 
 We live these values every day and create an environment where everyone enjoys working. Our business culture based on trust, openness and innovation has been recognized with our
 
 &ldquo;Great Place To Work&rdquo;
 
 certificate!
 
 
 
 
 
 
 What Do We Do?
 
 
 
 As Migros One; We spread happiness in being the pioneer of innovation in the field of food and retail technology with our brands
 
 Migros Sanal Market, Migros Hemen, Migros Extra, Migros Yemek, Macroonline, Tazedirekt, Mion and Petimo!
 
 
 
 
 
 
 Our determination to find fast and effective solutions always keeps us one step ahead. Our team's passion and energy make their jobs enjoyable.
 
 
 
 
 
 Thanks to our people-oriented approach, we aim to create a more comfortable and practical world for everyone by using them all. We constantly strive to provide the best experience to our consumers and employees! As Migros One team, we get excited with every member of our team creating his/her own career story!
 
 
 
 
 
 If you would like to be a part of this visionary and tech-savvy e-commerce team, don&rsquo;t wait! Make your application!
 
 
 
 
 
 We are looking for
 
 Data Scientist
 
 who will be on our team!
 
 
 
 
 
 
 What will we expect from you?
 
 
 <ul>
 <li>
 2+ years of hands-on experience delivering end-to-end data science and machine learning solutions in production environments.
 </li>
 <li>
 Deep understanding of core data science concepts: data preprocessing, feature engineering, statistical modeling, and rigorous model evaluation.
 </li>
 <li>
 Advanced proficiency in Python, with a focus on writing efficient, maintainable, and production-level code.
 </li>
 <li>
 Commitment to best practices throughout the data science workflow, from exploration to deployment and monitoring.
 </li>
 <li>
 Strong proficiency in applying GenAI techniques&mdash;including RAG, LLM fine-tuning, and multi-agent workflows&mdash;to build scalable, business-impactful systems.
 </li>
 <li>
 Knowledge of deep learning methods is a plus.
 </li>
 <li>
 Familiarity with Docker for containerization and reproducible deployments is a plus.
 </li>
 <li>
 Experience developing solutions in the operations domain within e-commerce is a plus.
 </li>
 <li>
 Experience in the search domain is a plus.
 </li>
 <li>
 E-commerce platform experience, such as user analytics, recommendation systems, and A/B testing, is a plus.
 </li>
 <li>
 Strong team player with proven experience in collaborative, Agile/Scrum environments.
 </li>
 <li>
 Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders.
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
 </li>
 </ul>
 
 
 
 
 
 What will you do?
 
 
 <ul>
 <li>
 You'll collaborate with cross-functional teams to design, build, and deploy innovative AI-driven features that enhance our e-commerce platform.
 </li>
 <li>
 You'll own the end-to-end data science workflow: from data preprocessing and feature engineering, to model development, evaluation, and production deployment.
 </li>
 <li>
 You'll have direct impact by developing, fine-tuning, and launching generative AI models and intelligent agents in real-world, high-scale environments.
 </li>
 <li>
 You'll help define and maintain best practices for model monitoring, retraining, and ensuring robust, reproducible, and maintainable code.
 </li>
 <li>
 You'll work closely with product, engineering, and operations teams to solve challenging problems in the operations and search domains, as well as optimize user experience through analytics, recommendations, and experimentation.
 </li>
 <li>
 You'll actively participate in Agile/Scrum processes, contributing to team planning, code reviews, and knowledge sharing.
 </li>
 </ul>
 
 
</div>

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>

ING Türkiye

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 At ING T&uuml;rkiye, we leverage the power of data science and advanced analytics to create impactful solutions across various domains. Our teams are at the forefront of driving AI transformation in the bank by:
 
 
 
 
 <ul>
 <li>
 Building analytical models to optimize business processes, such as operations, credit risk management and customer engagement
 </li>
 <li>
 Partnering with different departments to identify and execute data-driven projects
 </li>
 <li>
 Developing and deploying advanced analytical solutions for standardized model development processes
 </li>
 <li>
 Exploring cutting-edge technologies such as computer vision or generative AI to innovate in customer experience and internal operations
 </li>
 <li>
 Collaborating with data engineering teams to create robust data pipelines and scalable infrastructure
 </li>
 </ul>
 
 
 
 
 
 If you think you have most of the following qualifications;
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline &ndash; Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree will be a plus)
 </li>
 <li>
 4+ Years Experience in Data Science / Data Analytics
 </li>
 <li>
 Expert level experience in Data Analysis
 </li>
 <li>
 Solid experience with core machine learning algorithms with a strong focus on evaluating model performance
 </li>
 <li>
 Deep understanding of LLMs for document processing, NER and structured document analysis
 </li>
 <li>
 Hands-on experience with computer vision tools including PyTesseract, PaddleOCR, and vision-language models (VLMs)
 </li>
 <li>
 Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment
 </li>
 <li>
 Excellent organizational and analytical skills; detail-oriented and forward thinking,
 </li>
 <li>
 Good at communication and coordination, stakeholder management, team-work, analytical thinking, highly motivated and result oriented personality
 </li>
 <li>
 Desire to use modern technologies as a disruptive influence
 </li>
 <li>
 Excellent written/verbal communication and reporting skills in Turkish and English
 </li>
 <li>
 Open-minded for new technologies
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you think you may take charge of the following responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Develop advanced analytical models, incorporating Machine Learning &amp; LLM solutions; analyze, process and evaluate to create impact
 </li>
 <li>
 Build an in-depth understanding of the business domain and available data assets
 </li>
 <li>
 Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions
 </li>
 <li>
 Work on projects and exchange experiences, and continuously build methodological knowledge and skills
 </li>
 <li>
 Translate complex datasets into key strategy insight
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Senior Data Scientist – AI Development

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Senior Data Scientist – AI Development