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data scientist consultant Jobs in Istanbul

data scientist consultant

predictive modeler

Cypher Games

<div>
 At Cypher Games, data isn&rsquo;t just numbers&mdash;it&rsquo;s the key to creating unforgettable player experiences. As a
 
 Data Scientist
 
 , you&rsquo;ll uncover patterns, build predictive models, and transform raw data into insights that shape the future of our games. Working hand-in-hand with Product, Marketing, and Engineering teams, your work will directly impact how millions of players enjoy and engage with our worlds. If you&rsquo;re passionate about games, analytics, and solving complex problems with creativity, we&rsquo;d love to have you on our team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex data sets to uncover insights that guide product, marketing, and design decisions
 </li>
 <li>
 Build predictive models, simulations, and forecasting tools to improve player engagement and retention
 </li>
 <li>
 Design and evaluate A/B tests to validate hypotheses and optimize gameplay and monetization strategies
 </li>
 <li>
 Collaborate with Product, Marketing, and Engineering teams to translate business needs into data-driven solutions
 </li>
 <li>
 Build and maintain dashboards, reports, and analytics pipelines to empower teams with actionable insights
 </li>
 <li>
 Monitor data quality and ensure the accuracy and reliability of reports and metrics
 </li>
 <li>
 Stay up-to-date with emerging tools, methods, and best practices in data science and analytics
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics, etc.)
 </li>
 <li>
 1&ndash;2+ years of professional experience in data science, analytics, or a related field (gaming experience is a plus)
 </li>
 <li>
 Strong skills in SQL and proficiency in Python
 </li>
 <li>
 Hands-on experience with dashboard and visualization tools (Looker, Tableau, or similar)
 </li>
 <li>
 Understanding of statistical methods, A/B testing, predictive modeling, and machine learning techniques
 </li>
 <li>
 Curiosity-driven, detail-oriented, and strong problem-solving mindset
 </li>
 <li>
 Excellent communication skills and ability to work in cross-functional teams
 </li>
 <li>
 Passion for mobile games and using data to shape player experiences
 
 </li>
 </ul>
</div>

Data Scientist

Midas Games

<div>
 
 The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.&nbsp;
 
 
 &nbsp;
 
 
 Responsibilities
 
 <ul>
 <li>
 Analyze raw data: assessing quality, cleansing, structuring for downstream processing
 </li>
 <li>
 Design accurate and scalable prediction algorithms
 </li>
 <li>
 Collaborate with engineering team to bring analytical prototypes to production
 </li>
 <li>
 Generate actionable insights for business improvements
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
 </li>
 <li>
 At least 1 - 2 years' of experience in quantitative analytics or data modeling
 </li>
 <li>
 Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
 </li>
 <li>
 Fluency in a programming language (Python, C,C++, Java, SQL)
 </li>
 <li>
 Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
 </li>
 </ul>
 
</div>

Libra Softworks

<div>
 
 We&rsquo;re looking for a
 
 Machine Learning Engineer
 
 to design, build, and deploy predictive models that shape the future of our games. You&rsquo;ll work closely with data and product teams to deliver insights and improve player experiences.
 
 
 
 
 
 If you&rsquo;re passionate about using ML to solve real problems and thrive in a collaborative environment where your work directly impacts strategy and outcomes, this role is for you! 🚀
 
 
 
 
 
 
 
 
 
 Who we think will be a great fit for this role:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field,
 </li>
 <li>
 Proven experience with ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, or PyTorch),
 </li>
 <li>
 Proficient in Python and SQL; comfortable with large-scale datasets,
 </li>
 <li>
 Solid knowledge of predictive modeling, classification, clustering, and recommendation systems,
 </li>
 <li>
 Familiarity with A/B testing and experimental design, and a desire to support data science initiatives,
 </li>
 <li>
 Experience deploying models in production environments and working with cloud services for MLOps (e.g., AWS SageMaker, Google Vertex AI, Databricks) is a strong plus,
 </li>
 <li>
 Strong problem-solving and communication skills,
 </li>
 <li>
 Passion for games and improving player experiences through intelligent systems.
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 <ul>
 <li>
 Build and optimize ML models that predict player behavior (e.g., churn, lifetime value, engagement),
 </li>
 <li>
 Partner with cross-functional teams to translate business challenges into ML solutions,
 </li>
 <li>
 Support data science tasks such as cohort analysis, retention breakdowns, KPI deep dives and A/B test design,
 </li>
 <li>
 Continuously improve existing models by integrating new data signals and testing novel approaches,
 </li>
 <li>
 Contribute to internal tools and pipelines for efficient experimentation and deployment.
 </li>
 </ul>
 
 
 
 
 
 Who We Are
 
 
 
 
 Libra Softworks
 
 , founded in 2016, is a passionate and creative entertainment studio committed to bringing cheerful moments to players worldwide. We create original, engaging content that resonates deeply with our users and delivers unforgettable experiences.
 
 
 
 
 
 We are driven by innovation and the ambition to scale our success globally. Our free-spirited team thrives in a collaborative atmosphere, supported by a spacious office, recreational zones, diverse snacks, and flexible working conditions.
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Be part of a creative and supportive environment
 </li>
 <li>
 Play a key role in shaping the culture of a growing game studio
 </li>
 <li>
 Make a real impact &mdash; we move fast and value initiative
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ready to Apply?
 
 
 
 Send your application now &mdash; we&rsquo;re excited to hear from you! 🚀
 
</div>

Machine Learning Engineer

SnA Consulting

<div>
 
 
 About the job
 
 
 
 
 
 
 SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history &amp; conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 200+ advanced analytics engagements with high-profile clients in the EMEA region.
 
 
 
 
 
 We&rsquo;re looking for recent graduates to join our analytics consulting team. Ideal candidates will be familiar (or completed coursework) in the following:
 
 <ul>
 <li>
 Mid-level statistics (including multivariable methods),
 </li>
 <li>
 Database management systems (including relational data modeling)
 </li>
 <li>
 Open source data science software (Python or R)
 </li>
 </ul>
 
 
 
 
 At SnA, you will be trained as an Associate Analytics Consultants. Our associates are responsible for analyzing large and complex datasets, applying various quantitative methods to interpret information and generating insights that lead to business recommendations. They also work on training, validation and implementation of predictive statistical models.
 
 
 
 
 
 This position requires a combination of technical skills and research, communication, presentation skills.
 
 
 
 
 
 We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive and self-confidence.
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Business, Finance, Marketing, Economics, Industrial Engineering, Computer Science from a reputable institution,
 </li>
 <li>
 General understanding of applied statistical concepts,
 </li>
 <li>
 Curiosity for knowledge in open source tools is a must,
 </li>
 <li>
 Being comfortable using SQL for data analysis and reporting purposes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 A culture where participation is encouraged and collaboration is a real pleasure
 </li>
 <li>
 Work in a creative environment and a steep learning curve
 </li>
 <li>
 Modern workplace in the heart of Istanbul
 </li>
 <li>
 Direct cooperation with major brands from all conceivable industries
 </li>
 <li>
 Home office arrangements
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 Private health insurance &amp; Sodexo to cover food expenses
 </li>
 </ul>
 
 
</div>

Associate Data Analytics Consultant - New Graduate (Entry Level)

Codeway

<div>
 
 About Codeway
 
 
 Codeway is a technology company building AI-powered mobile apps used by over 300 million people worldwide.
 
 
 Since 2020, we&rsquo;ve launched 60+ products across photo editing, productivity, entertainment, and more&mdash;many of which lead their categories. Our standout apps include Retake, Wonder, and Chat &amp; Ask AI.
 
 
 With a deep focus on AI research and proprietary technologies, we build experiences that define new standards in mobile. In 2024, we became the most downloaded app publisher on iOS globally. None of this happens without the team. Our 270+ people bring curiosity, clarity, and ownership to everything we build. Recognized as Turkey&rsquo;s #1 LinkedIn Top Startup and a certified Great Place to Work across Europe and the tech industry, Codeway is built to attract, grow, and empower top talent.
 
 
 That&rsquo;s our way. This is Codeway.
 
 
 
 POSITION
 
 
 
 This role will focus on leveraging the app data to optimize the efficiency of marketing campaigns and app features. The ideal candidate will have a robust understanding of statistical analysis and classical machine learning methods with a passion for applying them to real-world time-series forecasting problems.
 
 
 
 WHAT YOU&rsquo;LL BE DOING?
 
 
 
 
 <ul>
 <li>
 Develop and own machine learning models to predict LTV and churn for our subscription-based apps.
 </li>
 <li>
 Design and implement custom loss functions and evaluation metrics tailored to business objectives (e.g., ranking, calibration, cohort forecasting).
 </li>
 <li>
 Drive improvements in automation, maintainability, and reproducibility to support scale and cross-functional adoption of already existing ML models and pipelines.
 </li>
 <li>
 Collaborate closely with data, product, and marketing teams to uncover insights and ensure models drive action.
 </li>
 <li>
 Stay up to date with recent ML research, tools, and modeling approaches &mdash; and translate ideas from papers into practice.
 
 
 
 
 </li>
 </ul>
 
 WHAT YOU&rsquo;LL BRING?
 
 
 
 
 <ul>
 <li>
 2+ years of experience as a Data Scientist or an ML Engineer.
 </li>
 <li>
 BS in engineering/physics/math or related field. MS/PhD is a big plus.
 </li>
 <li>
 Solid understanding of time series forecasting, user behavior modeling, or subscription lifecycle metrics.
 </li>
 <li>
 Strong skills in Python, machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow), and model deployment best practices.
 </li>
 <li>
 Familiarity with LTV prediction challenges in consumer apps is a big plus.
 </li>
 <li>
 Strong problem-solving and communication skills &ndash; able to work independently and cross-functionally in a fast-paced environment.
 </li>
 <li>
 A strong understanding of statistics and the ability to identify and assess potential biases in data are essential.
 
 
 
 
 </li>
 </ul>
 
 NICE TO HAVES
 
 
 
 
 <ul>
 <li>
 Previous experience in Customer Lifetime Value and Churn Prediction within subscription based businesses.
 </li>
 <li>
 Contributions to large-scale codebases or open-source projects.
 </li>
 <li>
 Previous experience with cloud data platforms such as BigQuery.
 </li>
 <li>
 Proficiency in SQL and experience working with large datasets.
 </li>
 <li>
 Experience in putting models in production and experiment tracking.
 
 
 
 
 </li>
 </ul>
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 
 <ul>
 <li>
 Great Place to Work. As our top team member, you'll be a part of a fast-growing startup and have the privilege to enjoy our accredited &ldquo;BEST WORKPLACES&rdquo; environment, ranked first among all workplaces.
 </li>
 <li>
 A Competitive Compensation Package. Long story short, we take care of you.
 </li>
 <li>
 A Meal Compensation that is actually enough for a decent &amp; nutritious lunch, we&rsquo;re not following the industry standard.
 </li>
 <li>
 Full Health Benefits. To keep you away from all the trouble, we provide unlimited private health insurance and cover the HPV vaccine.
 </li>
 <li>
 Pet Adoption Support. We cover the primary healthcare expenses, parasite vaccinations, and microchip costs that may arise within the first year after employees adopt a pet.
 </li>
 <li>
 Cool Tech Stack. Macbook, iPhone 15 Pro, magic mouse, magic keyboard; an adjustable desk with a 4K screen and any other gadget you may need in your job.
 </li>
 <li>
 Sport Activities Support. We care about your physical wellbeing and support your gym membership.
 </li>
 <li>
 Learning Never Ends! Training budget to help you grow in your role, gain new skills, and learn new things!
 </li>
 <li>
 Udemy Free Pass. An unlimited Udemy subscription.
 </li>
 <li>
 Flexible Schedule &amp; Unlimited Vacations. This isn&rsquo;t a &ldquo;clock in, clock out&rdquo; company. We care about your productivity, not tracking every minute you&rsquo;re on site. It&rsquo;s up to you to always be responsible with your work, no matter where you are or what schedule you&rsquo;re keeping.
 </li>
 <li>
 English Course Support. Be more global and perform best at your work.
 </li>
 <li>
 Comprehensive Well-being Support. Through our partnership with Meditopia, we now offer free psychological counseling, along with additional services like dietitian, personal trainer, parenting consultant, physiotherapist, child &amp; adolescent therapist, and face-to-face counseling for employees in Istanbul.
 </li>
 <li>
 A Top-Notch Office. Located at the heart of Istanbul, right next to Levent Metro Station at Ferko Signature.
 </li>
 <li>
 Codebrew. Yes, you&rsquo;ve heard it right: We love coffee so much that we&rsquo;ve built our own coffee shop inside our office, where we also provide healthy snacks at certain hours.
 </li>
 <li>
 Free Breakfast. At Codebrew - every morning at 9:30 AM.
 </li>
 <li>
 No Dress Code. Dress as you like.
 </li>
 <li>
 Happy Hours Every Friday. Every. Single. Friday. When it&rsquo;s 5 PM: Screens off, party on! (Check out Codeway on Instagram)
 </li>
 <li>
 Dream Team. Average Codeway member is young, talented, and passionate - which makes our working environment extremely dynamic. Need proof? Take a look at our Instagram.
 </li>
 <li>
 Gaming Area. Whenever you need to take a break from hard work and relax with your favorite games, our PS5 corner will be waiting for you.
 </li>
 <li>
 Software Support. Subscription to any software you might need to perform at your best.
 </li>
 <li>
 Public Transportation Support. Daily public transportation support is on us, covered by an additional monthly compensation.
 </li>
 <li>
 Parent Support. Becoming a parent is a big moment, and Codeway celebrates it with you. We offer a one-time grant to support our new parents.
 </li>
 <li>
 Massage Room. When you need a moment to recharge and unwind, our massage chair room will be ready to offer you a relaxing break.
 
 
 
 
 </li>
 </ul>
 
 THE RECRUITING PROCESS
 
 
 
 We are committed to keeping our recruitment process short and transparent. Here&rsquo;s how it looks like:
 
 
 
 <ul>
 <li>
 Application: Send us your CV or LinkedIn profile. You can also just write a few words about yourself.
 </li>
 <li>
 Case Study: We might send you a task to solve.
 </li>
 <li>
 Talent &amp; Culture Interview: Let&rsquo;s talk about your experience &amp; expectations and see what we can achieve together.
 </li>
 <li>
 Technical Interview: You will meet with future team lead to go over the case and your technical capabilities in detail.
 </li>
 <li>
 Reference Check: We will contact your references to gain insights into your past experiences and work ethic.
 </li>
 <li>
 Welcome Aboard! You are now a part of the team.
 
 
 
 
 </li>
 </ul>
 
 Your personal data that will be collected through your applications made due to this advertisement will be processed automatically by the data controller Codeway in accordance with the Personal Data Protection Law No. 6698 ("KVKK") and relevant legislation for the purpose of conducting job application processes. You can access detailed information on this matter from the
 
 "Candidate Information Notice"
 
 page at
 
 
 https://www.codeway.co
 
 
 . Codeway processes the personal data of job applicants in accordance with relevant legislation. "
 
 Privacy Notice for Employee Candidate
 
 
 "
 
 summarizes the data processing procedures during the application process.
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu Codeway taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Detayl&inodot; bilgiye
 
 
 https://www.codeway.co
 
 
 adresindeki
 
 
 
 "Aday Ayd&inodot;nlatma Metnimizin"
 
 
 
 sayfas&inodot;ndan ula&scedil;abilirsiniz. Codeway, i&scedil; ba&scedil;vurusu yapan adaylar&inodot;n ki&scedil;isel verilerini, ilgili mevzuat &ccedil;er&ccedil;evesinde i&scedil;lemektedir.
 
 "&Ccedil;al&inodot;&scedil;an Aday&inodot; &Idot;&ccedil;in Gizlilik Bildirimi"
 
 ba&scedil;vuru s&uuml;recindeki veri i&scedil;leme s&uuml;re&ccedil;lerini &ouml;zetler.
 
</div>

ESARJ Elektrikli Araçlar Şarj Sistemleri

<div>
 
 
 What awaits you in this role
 
 
 
 
 
 
 We are looking for fellow team members for our Technical Operations team.
 
 
 
 
 <ul>
 <li>
 Own and oversee the full SLA framework across the charging station network, ensuring a targeted uptime is achieved and maintained
 </li>
 <li>
 Lead reactive and predictive maintenance strategies across regions and ensure smooth execution of fault response activities in coordination with subcontractors and field teams
 </li>
 <li>
 Manage incident response processes and ensure timely root cause analysis and resolution
 </li>
 <li>
 Use long-term performance data and fault trends to develop predictive maintenance models and continuous improvement plans
 </li>
 <li>
 Define, track and report operational KPIs (uptime, MTTR, SLA, etc.) through dashboard systems and performance monitoring tools to enable data-driven decisions
 </li>
 <li>
 Collaborate with internal teams (Field Ops, Engineering, IT) and external partners to ensure seamless operational coordination and service delivery
 </li>
 <li>
 Ensure compliance with all relevant safety, quality, and regulatory standards
 </li>
 <li>
 Report regularly to senior leadership with actionable insights on network performance and maintenance efficiency
 </li>
 <li>
 Maintain strong communication and collaboration with internal and external stakeholders; embrace a customer-centric perspective to support fast, easy, and reliable charging experiences, while contributing to profitable and sustainable growth.
 </li>
 </ul>
 
 
 
 
 
 What we expect
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Electrical Engineering, Energy Systems, or a related technical field
 </li>
 <li>
 Minimum 7&ndash;8 years of experience in maintenance and fault management, operational performance tracking, and technical service delivery (preferably in energy, infrastructure, or e-mobility sectors)
 </li>
 <li>
 Proven experience in managing SLAs, uptime metrics, and incident resolution processes
 </li>
 <li>
 Familiarity with predictive maintenance methodologies, root cause analysis, and data-driven decision-making
 </li>
 <li>
 Strong leadership skills with the ability to manage cross-functional technical teams and ensure alignment across monitoring and maintenance functions
 </li>
 <li>
 High level of self-discipline, ownership, and motivation in managing field and back-office operational flows
 </li>
 <li>
 Fluent in English
 </li>
 <li>
 Proficiency in performance monitoring tools, KPI dashboards (e.g., Excel, Power BI), and technical reporting
 </li>
 <li>
 Advanced problem-solving, analytical thinking, and decision-making abilities
 </li>
 <li>
 Able and willing to travel and drive within T&uuml;rkiye and abroad as required
 </li>
 </ul>
 
 
 
 
 
 How we conduct our recruitment process
 
 
 
 
 
 <ul>
 <li>
 Preliminary Interview
 </li>
 <li>
 Personality Inventory, General Aptitude and English Tests
 </li>
 <li>
 People and Culture and Team Interview
 </li>
 <li>
 Assessment
 </li>
 <li>
 Learning Agility Inventory
 </li>
 <li>
 Reference Check
 </li>
 <li>
 Offer Stage
 </li>
 </ul>
 
 
 
 
 
 What are the privileges of being an E&scedil;arj employee
 
 
 
 
 
 <ul>
 <li>
 Hybrid work model supported by ergonomics and communication,
 </li>
 <li>
 Flexible working hours and hours without meetings,
 </li>
 <li>
 Extensive private health, and life insurances &amp; company-supported Private Pension Insurance,
 </li>
 <li>
 Inter-departmental rotation opportunities,
 </li>
 <li>
 Leave package including 5-Day Welcome Leave, Birthday and Extended Parental Leaves,
 </li>
 <li>
 Employee Support and Counseling Practice Resources.
 </li>
 </ul>
 
 
</div>

Operational Performance Leader

Obase

<div>
 
 We are looking for experienced and passionate Data Scientists to join our dynamic consultancy team, delivering cutting-edge Artificial Intelligence solutions across a wide range of industries including retail, banking, telecom and airlines.
 
 
 In this role, you will be responsible for designing and developing predictive and forecasting models using both classical statistical methods and modern machine learning techniques, while also contributing to LLM-based AI solutions.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
 </li>
 <li>
 2+ years of experience in data science or applied machine learning with a focus on predictive analytics or forecasting
 </li>
 <li>
 Experience with demand forecasting, financial time series or capacity planning projects
 </li>
 <li>
 Proficient in Python or R and experienced with commonly used data science libraries and frameworks
 </li>
 <li>
 Strong command of SQL for data extraction, transformation, and analysis
 </li>
 <li>
 Hands-on experience with LLMs and NLP libraries (HuggingFace, LangChain, OpenAI API)
 </li>
 <li>
 Familiar with MLOps tools like MLflow, Docker, or Kubernetes
 </li>
 <li>
 Comfortable communicating with clients, understanding business needs, and presenting results to both technical and non-technical audiences
 </li>
 <li>
 Strong verbal and written communication skills in English
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and implementation of time series forecasting models
 
 (e.g. ARIMA, Prophet, LSTM, XGBoost) for demand prediction, sales forecasting and resource planning
 </li>
 <li>
 Lead the development and fine-tuning of LLM-based solutions for NLP tasks including text summarization, classification, conversational AI, and RAG (Retrieval-Augmented Generation)
 </li>
 <li>
 Conduct end-to-end data science workflows, including data cleaning, feature selection, transformation, and exploratory data analysis
 </li>
 <li>
 Collaborate with clients and stakeholders to understand business requirements and present data-driven insights clearly.
 </li>
 <li>
 Stay up-to-date with the latest trends in AI, ML, and LLM technologies and proactively bring them into projects
 </li>
 <li>
 Support the deployment of models into production environments in collaboration with engineering teams
 </li>
 </ul>
 
 
</div>

Explore 31+ Predictive modeler in Istanbul this October. Find roles across top companies and apply now to boost your career.

31 predictive modeler jobs IN Istanbul

Data Scientist

Data Scientist

Machine Learning Engineer

Associate Data Analytics Consultant - New Graduate (Entry Level)

Data Scientist

Operational Performance Leader

Data Scientist