data scientist Jobs in R D Bus Jobs In Istanbul Turkey

data scientist

data engineer Jobs in R D Bus Jobs In Istanbul Turkey

data engineer

data analyst Jobs in R D Bus Jobs In Istanbul Turkey

data analyst

data scientist / senior data scientist Jobs in R D Bus Jobs In Istanbul Turkey

data scientist / senior data scientist

lead data scientist Jobs in R D Bus Jobs In Istanbul Turkey

lead 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

Turkcell

<div>
 
 Turkcell olarak yeteneklerimize e&scedil;siz insan deneyimi ya&scedil;atarak, de&gbreve;er yaratan s&uuml;rd&uuml;r&uuml;lebilir bir organizasyon in&scedil;a etmeyi ve i&scedil;veren markam&inodot;z&inodot; zirveye ta&scedil;&inodot;may&inodot; hedefliyoruz. Bu hedef do&gbreve;rultusunda benimsedi&gbreve;imiz de&gbreve;erlerimizi i&scedil; yap&inodot;&scedil; bi&ccedil;imlerimize yans&inodot;t&inodot;yoruz.
 
 
 
 
 
 
 
 Turkcell&rsquo;de Neye De&gbreve;er Veriyoruz?
 
 
 
 
 
 &Idot;nsan Odakl&inodot;l&inodot;k:
 
 E&scedil;siz insan deneyimi olu&scedil;turmak amac&inodot;yla uygulamalar&inodot;m&inodot;z&inodot;n merkezinde insan&inodot; konumluyor, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n potansiyelini en &uuml;st d&uuml;zeye &ccedil;&inodot;karmay&inodot; ve onlar&inodot;n yeteneklerini geli&scedil;tirmeyi hedefliyoruz.
 
 
 
 Yenilik:
 
 &Idot;nsanlar&inodot;n hayat&inodot;nda fark yaratan yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler &uuml;retmek, fikir ve teknolojileri ke&scedil;fetmek i&ccedil;in tutkulu bir &scedil;ekilde &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🚀
 
 
 
 
 M&uuml;kemmellik:
 
 Dahil oldu&gbreve;umuz ve temas etti&gbreve;imiz her noktada m&uuml;kemmelliyeti hedefliyor, kendimize y&uuml;ksek standartlar belirliyor, ola&gbreve;an&uuml;st&uuml; sonu&ccedil;lar elde ediyoruz.
 
 🎯👌🏼
 
 
 
 
 &Idot;&scedil; Birli&gbreve;i:
 
 Ba&scedil;ar&inodot;n&inodot;n anahtar&inodot; olarak birlikte &ccedil;al&inodot;&scedil;may&inodot;, sayg&inodot; ve &scedil;effafl&inodot;k k&uuml;lt&uuml;r&uuml;n&uuml; te&scedil;vik ediyoruz. 👥🔗🧩
 
 
 
 M&uuml;&scedil;teri Odakl&inodot;l&inodot;k:
 
 M&uuml;&scedil;terilerimizin ihtiya&ccedil;lar&inodot;n&inodot; merkeze koyarak ola&gbreve;an&uuml;st&uuml; m&uuml;&scedil;teri deneyimleri sunmay&inodot; hedefliyoruz. 🤝🖇️
 
 
 
 S&uuml;rd&uuml;r&uuml;lebilirlik:
 
 M&uuml;&scedil;terilerimiz, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z ve d&uuml;nyam&inodot;z i&ccedil;in s&uuml;rd&uuml;r&uuml;lebilir bir gelecek amac&inodot;yla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🌍
 
 
 
 
 
 
 
 
 Ne Bekliyoruz?
 
 
 
 <ul>
 <li>
 Bilgisayar M&uuml;hendisli&gbreve;i, Telekom&uuml;nikasyon M&uuml;hendisli&gbreve;i, Elektrik-Elektronik M&uuml;hendisli&gbreve;i lisans derecesine sahip olan,
 </li>
 <li>
 &Idot;lgili alanlarda akademik bir dereceye (MS / PhD) sahip olan,
 </li>
 <li>
 Telekom&uuml;nikasyon sekt&ouml;r&uuml;nde tecr&uuml;beli olan,
 </li>
 <li>
 Veri bilimi ve yapay zeka alan&inodot;nda tecr&uuml;beli olan,
 </li>
 <li>
 &Scedil;ebeke istatistiklerine matematiksel temellerine hakim olan,
 </li>
 <li>
 Makine &ouml;&gbreve;renimi, AI algoritmalar&inodot; konusunda tecr&uuml;beli.
 </li>
 <li>
 Python ile kodlamada deneyimi olan,
 </li>
 <li>
 ETL ve Veri Modelleme s&uuml;re&ccedil;lerine hakim.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Turkcell&rsquo;de Senior Data Scientist Rol&uuml; Ne Yapar?
 
 
 
 <ul>
 <li>
 Network ve DWH verileri &uuml;zerinde &ccedil;al&inodot;&scedil;malar yaparak makine &ouml;&gbreve;renilmesi, yapay zeka ve veri bilimi metodolojileri ile stratejik &ccedil;&inodot;kt&inodot;lar &uuml;retir,
 </li>
 <li>
 Karma&scedil;&inodot;k veri k&uuml;melerini i&scedil;letme i&ccedil;in temel strateji i&ccedil;g&ouml;r&uuml;rlerine ve g&uuml;&ccedil;l&uuml; yeteneklere d&ouml;n&uuml;&scedil;t&uuml;r&uuml;r,
 </li>
 <li>
 Yeni veri kaynaklar&inodot;n&inodot; belirler ve veri ke&scedil;fi kullan&inodot;m&inodot; i&ccedil;in geli&scedil;en teknolojileri de&gbreve;erlendirir,
 </li>
 <li>
 Mobil ve Sabit &scedil;ebekelere ait i&scedil; modelleri i&ccedil;in &scedil;ebeke deneyimine dair kural setlerini kurgular,
 </li>
 <li>
 M&uuml;&scedil;terinin &scedil;ebeke deneyimi ve kullan&inodot;m&inodot;na dair analizler yapar tahminleme algoritmalar&inodot; ile modeller geli&scedil;tiririr,
 </li>
 <li>
 M&uuml;&scedil;teri deneyimi iyile&scedil;tirmek ama&ccedil;l&inodot; KPI&rsquo;lar&inodot;n geli&scedil;im alanlar&inodot;n&inodot; belirler ve y&ouml;nlendirme yapar,
 </li>
 <li>
 Sonu&ccedil;lar&inodot;n teknik ve teknik olmayan payda&scedil;lara sunar.
 </li>
 </ul>
 
 
 
 
 
 
 Yan Haklar ve Faydalar
 
 
 
 
 Ekibimizin bir &uuml;yesi olarak, rekabet&ccedil;i bir &uuml;cret, esnek &ccedil;al&inodot;&scedil;ma d&uuml;zenlemeleri, kariyer geli&scedil;imi ve ilerleme f&inodot;rsatlar&inodot; gibi bir dizi yan hak ve fayda ile bulu&scedil;ma f&inodot;rsat&inodot; yakalayacaks&inodot;n. Detaylara "https://bit.ly/TurkcellTKusagi&rsquo;&rsquo; &uuml;zerinden ula&scedil;abilirsin. 🎁▶️
 
 
 
 
 
 
 *Turkcell bir e&scedil;it f&inodot;rsat i&scedil;verenidir ve &inodot;rka, renge, dine, cinsiyete, ulusal k&ouml;kene, etnik k&ouml;kene, ya&scedil;a, fiziksel g&ouml;r&uuml;n&uuml;&scedil;e veya duruma, medeni durumuna, askerlik durumuna bak&inodot;lmaks&inodot;z&inodot;n, t&uuml;m nitelikli ba&scedil;vuru sahiplerini istihdam i&ccedil;in de&gbreve;erlendirmeye al&inodot;r.
 
 
</div>

SENIOR DATA SCIENTIST

iyzico

<div>
 
 
 iyzico
 
 
 
 iyzico was founded in 2013 to provide online payment services and artificial intelligence-based payment technologies to businesses of various sizes in the world of e-commerce. By making the complex payment processes simple through its easy and secure platform, iyzico had achieved significant successes through supporting thousands of businesses in digitalization and was acquired by the global payment systems giant PayU in 2019. With such a robust structure, iyzico is operating on the principle of democratizing financial services and making them accessible for everyone alongside the services it provides to businesses.
 
 
 
 
 
 Through iyzico Buyer Protection, consumers&rsquo; concerns regarding shopping online are resolved and better experiences are enabled. Control is handed back to the consumers by 24/7 live support through the iyzico mobile app and convenience in cancellation/returns processes. To this date, more than 2 million consumers shopped online under the security provided by iyzico Buyer Protection and this number is increasing daily. Via pay with iyzico, which is a blended payment solution, millions of consumers who do not use banking can safely shop online under the belt of iyzico Buyer Protection.
 
 
 
 
 
 iyzico continues to simplify online shopping for both consumers and sellers by the simple, accessible, and innovative technologies it developed.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze large-scale structured and unstructured data from multiple sources,
 </li>
 <li>
 Build products that make use of AI, ML, and advanced statistical techniques from basic financial analysis to complex machine learning models,
 </li>
 <li>
 Come up with new ideas on the ways we detect anomalies, optimize conversions, and provide business insights through data,
 </li>
 <li>
 Design, analyze, and interpret the results of experiments,
 </li>
 <li>
 To find hidden patterns and relationships in data to provide answers to business concerns, do statistical analysis and/or data mining techniques,
 </li>
 <li>
 Collaborate with product, engineering, and risk teams to translate business challenges into data science problems,
 </li>
 <li>
 Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize model performance,
 </li>
 <li>
 Ability to communicate complicated data outputs to audiences who are business-oriented and non-technical.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, information technology, industrial engineering, mathematics or statistics,
 </li>
 <li>
 5+ years experience the related responsibilities like data science or machine learning engineering,
 </li>
 <li>
 Strong analytical thinking and approach, hands-on experience with scientific computing languages and frameworks such as Python (e.g., scikit-learn, TensorFlow, PyTorch, Flask, h2o.ai),
 </li>
 <li>
 Eager to research and apply new models and can take initiative,
 </li>
 <li>
 SQL knowledge is a must,
 </li>
 <li>
 Multi-disciplinary and cooperative ability to solve problems in diverse domains including finance, marketing, sales, product development and user experience,
 </li>
 <li>
 Knowledge of developing workflows to deploy machine learning models and find new solutions to get processes better and faster,
 </li>
 <li>
 Experience of working within the financial regulations is a plus,
 </li>
 <li>
 Scientific approach for experimentation and rapid prototyping,
 </li>
 <li>
 The ability to present ideas, insights, and solutions in a clear way,
 </li>
 <li>
 Be interested in cutting-edge artificial intelligence products and be an early adopter who has experienced them before (Llama, GPT, Gemini).
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A culture of continuous development: conferences, in-house events &amp; Tech Talks to stay up-to-date on current research and technology.
 
 P.S.:You do not need to wait to get on the stage and share your expertise with you teammates and the community
 
 
 
 Online Training Platform (Free access to Udemy, Harvard ManageMentor, Get abstract, etc.),
 
 
 Freedom under responsibility is our common mindset. That&rsquo;s how we designed our flexible working model called iyzico Homequarters. Our homequarters is in Altunizade.
 
 
 Meal &amp; Internet Allowance.
 
 
 Transportation Allowance.
 
 
 A gift voucher to meet tech needs and ergonomic workspace at home.
 
 
 Macbook (and monitor if needed)
 
 
 Employee support program: free psychological counseling, legal advice, financial advice etc.
 
 
 Private health insurance,
 
 
 1 day birth day leave.
 
 
 An iyzicoMate is assigned to help you with anything you may need on your onboarding.
 
 
 A detailed orientation program designed for you to fully grasp the iyzico culture
 
</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

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

Explore 828+ Senior data scientist in R D Bus Jobs In Istanbul Turkey this December. Find roles across top companies and apply now to boost your career.

828 senior data scientist jobs IN R D Bus Jobs In Istanbul Turkey

Senior Data Scientist

SENIOR DATA SCIENTIST

Senior Data Scientist

Data Scientist / Senior Data Scientist

Data Scientist / Senior Data Scientist

Data Scientist

Junior Data Scientist - AI & Machine Learning