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junior data scientist - ai & machine learning Jobs in Istanbul

junior data scientist - ai & machine learning

data scientist senior data scientist

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

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

Peak

<div>
 
 We are looking for a Data Scientist who is passionate about using data to solve challenging problems. As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to drive strategic decisions and develop innovative solutions. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders.
 
 
 
 
 
 If you are a motivated and data-driven individual with a passion for gaming, join our team to help our games thrive in an exciting global industry!
 
 
 
 
 
 
 Here's what you&rsquo;ll do
 
 
 
 
 
 <ul>
 <li>
 Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights
 </li>
 <li>
 Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines
 </li>
 <li>
 Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps
 </li>
 <li>
 Work closely with product teams to model, simulate, and help fine-tune the game&rsquo;s internal economy
 </li>
 <li>
 Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing teams to make data-informed decisions: dashboards, reports, ad-hoc analysis and insightful observations
 </li>
 <li>
 Collaborate with different teams to drive, implement and analyze A/B testing results
 </li>
 <li>
 Develop and maintain our player segmentation tool
 </li>
 <li>
 Build predictive models using machine learning algorithms
 </li>
 <li>
 Stay up-to-date with industry trends, best practices, and new tools and techniques in data analysis &amp; data science
 </li>
 <li>
 Work with our tech stack:
 
 (dbt (Python, SQL), Snowflake, Looker, Hex, Streamlit, Airflow)
 
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experiences
 
 
 
 
 
 <ul>
 <li>
 University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
 </li>
 <li>
 Minimum of 1 year of hands-on data science experience in a tech companies
 </li>
 <li>
 Strong knowledge of SQL and Python; excited to learn new languages when needed
 </li>
 <li>
 Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus
 </li>
 <li>
 Passion for mobile casual games
 </li>
 <li>
 Excellent attention to detail, natural curiosity and ability for creative problem-solving
 </li>
 <li>
 Strong written and oral communication skills
 </li>
 <li>
 Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Areas in which you'll continue to grow
 
 
 
 
 
 <ul>
 <li>
 Proficiency in extracting, processing and modeling huge amounts of data
 </li>
 <li>
 Working with one of the richest and largest datasets of the technology industry
 </li>
 <li>
 Proficiency in data analytics, data science and visualization tools
 </li>
 <li>
 Ability to initiate, support and improve product &amp; marketing decisions thanks to the evolving role of data in a fully data-driven environment
 </li>
 </ul>
</div>

Data Scientist

Prometeia

<div>
 
 
 Junior Data Scientist - AI &amp; Machine Learning
 
 
 
 
 
 
 Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
 
 
 Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.
 
 
 Among the European leaders in Enterprise Risk Management and Wealth &amp; Asset Management solutions, Prometeia is looking for a motivated and curious part-time junior data scientist to join our AI &amp; Machine Learning team in Istanbul. The ideal candidate is passionate about learning how to use data to solve real-world problems in the finance domain. This role is designed for someone at the beginning of their data science career who wants to gain hands-on experience, make tangible contributions, and continue to grow their technical and analytical skills.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Support senior data scientists in the development of AI and machine learning models.
 </li>
 <li>
 Assist with data collection, cleaning, and exploration tasks.
 </li>
 <li>
 Contribute to feature engineering and model training using Python-based tools.
 </li>
 <li>
 Participate in testing and validating models under the guidance of senior team members.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and selection to enhance model performance.
 </li>
 <li>
 Participation in the preparation/review of simple prototypes/analytic components within more complex pipelines.
 </li>
 <li>
 Contribute to data labeling and annotation tasks, especially for text and language-based (NLP) datasets.
 </li>
 <li>
 Take part in research and experimentation to explore new data science methods and tools.
 </li>
 <li>
 Preparing and delivering technical presentations to clients and stakeholders to explain machine learning models, project outcomes, and analytical insights.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS:
 
 
 <ul>
 <li>
 Currently a junior or senior undergraduate student, or enrolled in a Master&rsquo;s program in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related field.
 </li>
 <li>
 Knowledge of statistics, Machine Learning, and major clustering, classification, and regression algorithms.
 </li>
 <li>
 Proficiency in programming languages such as Python and SQL.
 </li>
 <li>
 Familiarity with Python libraries and tools for Machine Learning (numpy/pandas, scikit-learn) and scientific computing.
 </li>
 <li>
 Eagerness to learn and contribute in a team-oriented environment and attention to detail.
 </li>
 <li>
 Good communication and presentation skills in English.
 </li>
 </ul>
 
 
 
 
 
 NICE TO HAVE:
 
 
 <ul>
 <li>
 Experience with code versioning systems (git).
 </li>
 <li>
 Experience in data wrangling, cleaning, exploration, and feature extraction.
 </li>
 <li>
 Experience in consulting or working with clients is a plus.
 </li>
 <li>
 Experience in financial institutions is a plus.
 </li>
 </ul>
 
 
 
 
 
 LOCATION:
 
 
 
 Istanbul
 
 
 
 
 
 
 WHAT WE OFFER:
 
 
 
 
 REMOTE WORKING
 
 
 
 Flexibility is an intrinsic value of our way of working. In Prometeia, remote working is an organizational method based on trust. It results in benefits in terms of work/life balance, impact on the environment and optimization of company results through autonomy and empowerment of people.
 
 
 
 TRAINING
 
 
 
 Prometeia means continuous training. We provide an average of 11 days of training per year to our people, in person and online. We pay specific attention to younger colleagues, the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important and is made of immediate and direct confrontation with the market.
 
 
 
 COMMUNITY
 
 
 
 Our Community is highly diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities we actively cooperate with are stakeholders representing a great value for us in terms of trust and collaboration.
 
 
 
 DIVERSITY
 
 
 
 We promote and respect equal opportunities and consider differences as a value. Diversity &amp; Inclusion are fundamental values: from the recruitment phase to everyday life, promoted also through dedicated training moments to develop individual sensitivities and uniqueness.
 
 
 
 IMPACT
 
 
 
 We responsibly take an active role towards the environment, territories and communities we operate in. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards recognizing the efficiency of the building in terms of energy and water savings, CO2 emissions reduction, and improvement of the ecological quality of interiors, materials and resources. In the Sustainability Report we outline the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda drafted by the UN in 2016, that we have been supporting since 2020.
 
</div>

Junior Data Scientist - AI & Machine Learning

H2O United

<div>
 
 
 Creative Scientist
 
 
 
 
 
 
 Ekibimize yarat&inodot;c&inodot; zek&acirc;y&inodot; veriyle birle&scedil;tiren, hem analitik hem sezgisel ilerleyebilen, trendleri koklay&inodot;p performans&inodot; &ccedil;&ouml;zebilen bir &ldquo;Creative Scientist&rdquo; ar&inodot;yoruz. Bu rol, AI ara&ccedil;lar&inodot;n&inodot; aktif kullanarak hem veri hem yarat&inodot;c&inodot; i&ccedil;g&ouml;r&uuml; &uuml;retimini h&inodot;zland&inodot;racak; ekiplerimizin creative stratejilerini g&uuml;&ccedil;lendirecek.
 
 
 
 
 
 
 Bu rolde ne yapacaks&inodot;n?
 
 
 
 
 
 
 
 1) Creative Meta-Analysis (Derin Yarat&inodot;c&inodot; Analiz)
 
 
 
 
 
 
 Farkl&inodot; vertical, KPI ve hedef kitle eksenlerinde creative analiz modelleri kurmak.
 
 
 Temsil g&uuml;c&uuml; y&uuml;ksek sample&rsquo;lar se&ccedil;mek, do&gbreve;ru kar&scedil;&inodot;la&scedil;t&inodot;rma setlerini olu&scedil;turmak.
 
 
 Sezonsal momentlere g&ouml;re creative davran&inodot;&scedil;&inodot;n&inodot; modellemek.
 
 
 AI ile birlikte &ccedil;al&inodot;&scedil;arak insight &ccedil;&inodot;kar&inodot;m&inodot;n&inodot; h&inodot;zland&inodot;rmak (labeling, hipotez geli&scedil;tirme, pattern detection).
 
 
 
 
 
 
 2) Creative Level Performance Reporting &amp; Data Visualisation
 
 
 
 
 
 
 Markalara ayl&inodot;k/&ccedil;eyreklik performans raporlar&inodot; haz&inodot;rlamak.
 
 
 Medya ajanslar&inodot;yla &ccedil;al&inodot;&scedil;arak en iyi / en k&ouml;t&uuml; &ccedil;al&inodot;&scedil;an yarat&inodot;c&inodot;lar&inodot; belirlemek, creative fatigue noktalar&inodot;n&inodot; tespit etmek.
 
 
 Looker Studio, Excel, Notion, Figma vb. ara&ccedil;larla hik&acirc;ye anlatan basit ve etkili g&ouml;rseller &uuml;retmek.
 
 
 
 
 
 
 3) Creative Testing
 
 
 
 
 
 
 A/B test setuplar&inodot;n&inodot; planlamak (hangi KPI i&ccedil;in hangi b&uuml;t&ccedil;e gerekir, hangi hipotez test edilir?).
 
 
 Test sonu&ccedil;lar&inodot;n&inodot; objektif ve h&inodot;zl&inodot; &scedil;ekilde yorumlamak.
 
 
 Gerekti&gbreve;inde &ldquo;creative + data&rdquo; aras&inodot;nda k&ouml;pr&uuml; olmak.
 
 
 
 
 
 
 4) AI Destekli Analitik &amp; Otomasyon
 
 
 
 
 
 
 ChatGPT, Claude, Perplexity gibi ara&ccedil;lar&inodot; aktif kullanarak:
 
 
 Rapor otomasyonu
 
 
 Creative labeling
 
 
 Insight &ccedil;&inodot;kar&inodot;m&inodot;
 
 
 Benchmarking s&uuml;re&ccedil;lerini h&inodot;zland&inodot;rmak.
 
 
 
 
 
 
 5) Ekip &Idot;&ccedil;i K&ouml;pr&uuml; G&ouml;revi
 
 
 
 
 
 
 Creative, strateji, medya ve m&uuml;&scedil;teri ekipleri aras&inodot;nda ak&inodot;c&inodot; ileti&scedil;im sa&gbreve;lamak.
 
 
 Teknik dili kreatif ki&scedil;ilere, kreatif i&ccedil;g&ouml;r&uuml;leri teknik ekiplere sade &scedil;ekilde aktarabilmek.
 
 
 
 
 
 
 Kimi ar&inodot;yoruz?
 
 
 
 
 
 
 Ajans ya da markada strateji/dijital pazarlama alanlar&inodot;nda tecr&uuml;be edinmi&scedil;.
 
 
 Veriye bak&inodot;nca hik&acirc;ye g&ouml;ren, yarat&inodot;c&inodot; taraf&inodot; g&uuml;&ccedil;l&uuml; ki&scedil;iler.
 
 
 Excel/Sheets, dashboard, g&ouml;rselle&scedil;tirme ara&ccedil;lar&inodot;nda rahat.
 
 
 Generative AI ara&ccedil;lar&inodot;n&inodot; i&scedil; ak&inodot;&scedil;&inodot;n&inodot;n do&gbreve;al par&ccedil;as&inodot; gibi kullanan.
 
 
 Mant&inodot;ksal model kurabilen, hipotez geli&scedil;tirebilen, test edebilen.
 
 
 Birden fazla projeyi ayn&inodot; anda y&ouml;netebilecek d&uuml;zen.
 
 
 Analitik merak&inodot; olan; matematik, istatistik ya da pazarlama bilimiyle akrabal&inodot;&gbreve;&inodot; bulunan.
 
 
 Yo&gbreve;un bilgi trafi&gbreve;i aras&inodot;nda kaybolmadan net &uuml;retim yapabilen adaylar&inodot; ar&inodot;yoruz.
 
 
 
 
 
 &Ouml;zel sa&gbreve;l&inodot;k sigortas&inodot;, performans primi, do&gbreve;umg&uuml;n&uuml; izni, happy hourlar, &scedil;irket e&gbreve;itimleri gibi farkl&inodot; imkanlar sunuyoruz. Haftan&inodot;n iki g&uuml;n&uuml; evden, &uuml;&ccedil; g&uuml;n&uuml; (Sal&inodot;, &Ccedil;ar&scedil;amba, Per&scedil;embe) ise Fulya'da bulunan ofisimizden hibrit sistemi &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
</div>

Creative Scientist

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>

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903 data scientist senior data scientist jobs IN Istanbul

Data Scientist / Senior Data Scientist

Senior Data Scientist

Data Scientist

Junior Data Scientist - AI & Machine Learning

Junior Data Scientist - AI & Machine Learning

Creative Scientist

Data Scientist