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TRB 360

<div>
 
 We are seeking a
 
 AI Specialist
 
 for our Istanbul-based company operating in the oil and gas sector.
 
 
 
 
 
 
 About The Company
 
 
 
 
 
 
 We are an AI-driven startup revolutionizing oil and gas trading and hedging through cutting-edge machine learning, data analytics, and financial modeling. We seek an experienced AI Specialist to design, implement, and optimize AI-powered trading models and risk management systems.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and implement AI algorithms/models for trading, forecasting, and risk management in oil and gas markets.
 </li>
 <li>
 Create predictive models for price movements, supply-demand dynamics, and geopolitical risk assessment.
 </li>
 <li>
 Design and maintain hedging strategies using derivatives and financial instruments.
 </li>
 <li>
 Develop and maintain data pipelines and ensure data quality
 </li>
 <li>
 Analyze large-scale market data from multiple sources (e.g., market feeds, economic reports).
 </li>
 <li>
 Collaborate with traders, data engineers, and financial analysts to integrate AI models into trading systems.
 </li>
 <li>
 Conduct backtesting, scenario analysis, and performance evaluation of models.
 </li>
 <li>
 Stay updated on emerging AI technologies, trading models, and market regulations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 BSc, Master&rsquo;s or Ph.D. in Computer Science, Data Science, Finance, or a related field.
 </li>
 <li>
 3+ years of experience in software development.
 </li>
 <li>
 Proven experience with AI applications in financial trading, commodities, or energy markets.
 </li>
 <li>
 Expertise in machine learning frameworks (TensorFlow, PyTorch) and statistical modeling.
 </li>
 <li>
 Strong programming skills in Python, R, or C++.
 </li>
 <li>
 Familiarity with financial market structures, derivatives, and quantitative finance.
 </li>
 <li>
 Experience with time-series analysis, reinforcement learning, and optimization techniques.
 </li>
 <li>
 Ability to translate complex data insights into actionable trading strategies.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience in commodity trading, especially oil and gas.
 </li>
 <li>
 Knowledge of energy market regulations and compliance standards.
 </li>
 <li>
 Experience with cloud-based AI platforms (AWS, Azure, Google Cloud).
 </li>
 <li>
 Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.
 </li>
 <li>
 Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.
 </li>
 <li>
 Expreince with LSTM and XGBoost Models.
 </li>
 </ul>
 
 
</div>

AI Specialist

TEB Arf

<div>
 
 
 Data Scientist &ndash; AI &amp; Data Science Team (TEB Arf, &Idot;stanbul &ndash; B&Uuml;DOTEK Teknopark)
 
 
 
 Join TEB Arf&rsquo;s innovative AI &amp; Data Science Team and help us redefine the future of banking! We&rsquo;re a dynamic group pushing the boundaries of artificial intelligence to develop cutting-edge solutions that deliver real impact. As a Data Scientist, you&rsquo;ll own the entire lifecycle of AI/ML solutions &ndash; from development and deployment to monitoring and continuous improvement &ndash; collaborating closely with business stakeholders to solve complex challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Engineering &amp; Preparation:
 
 Extract, clean, transform, and validate data from diverse sources to create high-quality datasets for model development. Design and maintain scalable data pipelines using SQL and Python.
 </li>
 <li>
 
 Model Development &amp; Evaluation:
 
 Select, build, train, and rigorously evaluate machine learning models (regression, classification, clustering, time series) using libraries such as Scikit-learn, XGBoost, and TensorFlow/PyTorch. Employ techniques like cross-validation to ensure robust and generalizable results.
 </li>
 <li>
 
 Business Translation &amp; Impact:
 
 Collaborate with stakeholders to understand business needs and translate them into actionable analytical solutions. Design and execute experiments (A/B testing) to validate hypotheses and measure the impact of your work.
 </li>
 <li>
 
 Deployment &amp; Monitoring:
 
 Work with SDLC teams to deploy models into production, continuously monitor performance, and proactively address issues (model drift, data quality).
 </li>
 <li>
 
 Communication &amp; Documentation:
 
 Clearly communicate complex technical concepts to both technical and non-technical audiences. Maintain thorough documentation of all analytical processes and results.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Electrical/Electronics Engineering, Industrial Engineering, Statistics, or Mathematics.
 </li>
 <li>
 5+ years of experience, with at least 3 years in a dedicated Data Science role.
 </li>
 <li>
 Expert proficiency in SQL and Python.
 </li>
 <li>
 Strong understanding of machine learning/deep learning concepts, algorithms, and a practical ability to apply them.
 </li>
 <li>
 Hands-on experience developing and deploying machine learning models and AI applications.
 </li>
 <li>
 Solid understanding of MLOps and LLMOps principles.
 </li>
 <li>
 Familiarity with CI/CD platforms and containerization (Docker, Kubernetes).
 </li>
 <li>
 Excellent English communication skills (verbal and written).
 </li>
 </ul>
 
 
 
 
 
 Bonus Points:
 
 
 <ul>
 <li>
 Experience with Java or C++.
 </li>
 <li>
 Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
 </li>
 <li>
 Master&rsquo;s or PhD in a related field.
 </li>
 <li>
 Experience in the banking or financial services industry.
 </li>
 </ul>
 
 
</div>

Data Scientist – AI & Data Science Team

Midas

<div>
 At Midas, we are working on real-life user needs to transform the world of finance.
 
 
 We&rsquo;ve transformed investing in Turkey by delivering a seamless experience for everyday investors.
 
 
 Today, 3.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.
 
 
 
 What You'll Ship
 
 
 
 <ul>
 <li>
 Understand business objectives and data requirements, translating them into actionable insights and predictive or generative solutions
 </li>
 <li>
 Testing, Evaluation &amp; Benchmarking &ndash; own experiment design, metric definition, and continuous assessment of predictive or generative pipelines
 </li>
 <li>
 Taxonomy Management &ndash; create and maintain hierarchical label and eval schemes for text classification/generation projects
 </li>
 <li>
 Work with large datasets to summarize and extract key insights, providing valuable information to support business strategies
 </li>
 <li>
 Collaborate with business partners and departments to ensure data-driven solutions align with business goals and deliver optimal results
 
 
 
 
 
 </li>
 </ul>
 
 Cultural Competencies
 
 
 
 <ul>
 <li>
 Takes full ownership &mdash; doesn&rsquo;t wait, just solves
 </li>
 <li>
 Questions assumptions and rebuilds from first principles
 </li>
 <li>
 Balances speed and quality &mdash; ships fast, but always clean
 </li>
 <li>
 Collaborates fluidly across teams; communicates clearly, with empathy and precision
 
 
 
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Physics, Engineering and relevant fields
 </li>
 <li>
 Knowledge and hands-on experience using SQL, Python, Python DS/ML Stack
 </li>
 <li>
 Experience in manipulating large datasets, summarizing key insights, and applying statistical analysis or data mining techniques to uncover patterns and answer business questions
 </li>
 <li>
 Generative AI adoption to scale tagging, monitoring, analytical and agentic pipelines
 </li>
 <li>
 Track record of impact in product facing roles
 </li>
 <li>
 Search and retrieval background
 
 
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 Play to Win, Build with the Best
 
 
 Collaborate with the brightest minds, who challenge you to grow every day.
 
 
 
 Dare to Disrupt
 
 
 Become an outlier and turn bold ideas into groundbreaking realities.
 
 
 
 You will be fully equipped for success:
 
 
 Great compensation for great talent.
 
 
 Holistic support for health, well being and nutrition.
 
 
 Tools to Thrive &ndash; everything you need to perform at your best.
 
 
 Want to learn more about the team?
 
 
 Take a look: https://linktr.ee/midas.talent
 
 
 Be an Outlier, Build the Future of Money!
</div>

Data Scientist

<div><div>At Midas, we are working on real-life user needs to transform the world of finance.</div><div>
We&rsquo;ve transformed investing in Turkey by delivering a seamless experience for everyday investors.</div><div>
Today, 3.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.</div>
<h3 class="jobSectionHeader">What You'll Ship</h3><ul><li>
Understand business objectives and data requirements, translating them into actionable insights and predictive or generative solutions.</li><li>
Testing, Evaluation &amp; Benchmarking &ndash; own experiment design, metric definition, and continuous assessment of predictive or generative pipelines.</li><li>
Taxonomy Management &ndash; create and maintain hierarchical label and eval schemes for text classification/generation projects.</li><li>
Work with large datasets to summarize and extract key insights, providing valuable information to support business strategies.</li><li>
Collaborate with business partners and departments to ensure data-driven solutions align with business goals and deliver optimal results.</li></ul><h3 class="jobSectionHeader">
Cultural Competencies</h3><ul><li>
Takes full ownership &mdash; doesn&rsquo;t wait, just solves</li><li>
Questions assumptions and rebuilds from first principles</li><li>
Balances speed and quality &mdash; ships fast, but always clean</li><li>
Collaborates fluidly across teams; communicates clearly, with empathy and precision</li></ul><h3 class="jobSectionHeader">
What You'll Bring</h3><ul><li>
Bachelor&rsquo;s degree in Mathematics, Physics, Engineering and relevant fields.</li><li>
Knowledge and hands-on experience using SQL, Python, Python DS/ML Stack.</li><li>
Experience in manipulating large datasets, summarizing key insights, and applying statistical analysis or data mining techniques to uncover patterns and answer business questions.</li><li>
Generative AI adoption to scale tagging, monitoring, analytical and agentic pipelines.</li><li>
Track record of impact in product facing roles.</li><li>
Search and retrieval background.</li></ul><div>
Why Join Us?</div><div></div><div> 
Play to Win, Build with the Best</div><div>
Collaborate with the brightest minds, who challenge you to grow every day.</div><div></div><div> 
Dare to Disrupt</div><div>
Become an outlier and turn bold ideas into groundbreaking realities.</div><div></div><div> 
You will be fully equipped for success:</div><div></div><div> 
Great compensation for great talent.</div><div>
Holistic support for health, well being and nutrition.</div><div>
Tools to Thrive &ndash; everything you need to perform at your best.</div><div></div><div> 
Want to learn more about the team?</div><div>
Take a look: https://linktr.ee/midas.talent</div><div></div><div> 
Be an Outlier, Build the Future of Money!</div></div>

Aksigorta

<div>
 
 Aksigorta&rsquo;da kariyerine y&ouml;n verirken, cesaretinle fark yarataca&gbreve;&inodot;n, benzersiz bir tak&inodot;mla bamba&scedil;ka sigortac&inodot;l&inodot;&gbreve;a imza ataca&gbreve;&inodot;n &ldquo;&ccedil;ok ba&scedil;ka&rdquo; bir kariyer seni bekliyor.
 
 
 
 
 
 9 sekt&ouml;rde 16 &scedil;irketiyle T&uuml;rkiye ile d&uuml;nyay&inodot; bulu&scedil;turan Sabanc&inodot; Holding ile sigortac&inodot;l&inodot;kta 150 y&inodot;ll&inodot;k global oyuncu Ageas Group sinerjisinden beslenen ve 60 y&inodot;ll&inodot;k deneyime sahip T&uuml;rkiye&rsquo;nin en b&uuml;y&uuml;k sigorta &scedil;irketlerinden birinde &ccedil;al&inodot;&scedil;mak, Aksigortal&inodot; olmak ister misin?
 
 
 
 
 
 Teknoloji ve Operasyonel M&uuml;kemmellik ekibimizde de&gbreve;erlendirmek &uuml;zere Data Scientist adaylar&inodot;n&inodot;n ba&scedil;vurular&inodot;n&inodot; bekliyoruz!
 
 
 
 
 
 
 Genel Nitelikler
 
 
 <ul>
 <li>
 &Uuml;niversitelerin M&uuml;hendislik, Akt&uuml;erya ve &Idot;statistik lisans ve &uuml;zeri b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Tercihen en az 5 sene sigorta sekt&ouml;r&uuml; deneyimi olan,
 </li>
 <li>
 Sekt&ouml;rel ve sekt&ouml;r d&inodot;&scedil;&inodot; yenilikleri takip eden ve s&uuml;rekli &ouml;&gbreve;renme ve geli&scedil;imi prensip edinen,
 </li>
 <li>
 &Idot;leri seviyede s&ouml;zl&uuml; ve yaz&inodot;l&inodot; &Idot;ngilizce kullanabilen.
 </li>
 <li>
 Ba&scedil;tan sona Data Science proje geli&scedil;tirme tecr&uuml;besine sahip, Data Science algoritmalar&inodot;nda y&uuml;ksek seviyede bilgi sahibi.&Ouml;rn: (Xgboost, Light GBM, SVM, KNN, Naive Bayes)
 </li>
 <li>
 Big Data sistemleri (Microsoft Fabric, Hadoop, Hive, Airflow) ile ilgili bilgi sahibi olan,
 </li>
 <li>
 Data Science ve Generative AI uygulamalar&inodot; konusunda y&uuml;ksek derecede bilgi sahibi olan. (SAS, Datarobot, Python, OPENAI vb.)
 </li>
 <li>
 Data Analytics architecture hakk&inodot;nda bilgi sahibi olan
 </li>
 <li>
 Makine &Ouml;&gbreve;renmesi ve Yapay Zeka projelerinde binary,numeric ve kategorik de&gbreve;i&scedil;kenler olu&scedil;turmak i&ccedil;in veri ke&scedil;if analizleri, veri haz&inodot;rlama a&scedil;amalar&inodot;na y&uuml;ksek derecede haiz
 </li>
 <li>
 SQL/PL-SQL kodlama bilgisi olan, PL-SQL paket ve prosed&uuml;rlerin olu&scedil;turulmas&inodot; veya SAS EG kodlama ile veya Python kodlama &uuml;zerinde ile veri haz&inodot;rlama konusunda y&uuml;ksek derecede bilgi sahibi olan bir ekip arkada&scedil;&inodot; ar&inodot;yoruz.
 </li>
 </ul>
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;
 
 
 <ul>
 <li>
 Aksigorta&rsquo;n&inodot;n risk, fiyatlama ve m&uuml;&scedil;teri s&uuml;re&ccedil;lerine katk&inodot; sa&gbreve;layacak veri odakl&inodot; modeller geli&scedil;tirmek, makine &ouml;&gbreve;renmesi projeleri y&uuml;r&uuml;tmek.
 </li>
 <li>
 B&uuml;y&uuml;k veri setleri &uuml;zerinde veri temizleme, d&ouml;n&uuml;&scedil;t&uuml;rme ve entegrasyon &ccedil;al&inodot;&scedil;malar&inodot; ger&ccedil;ekle&scedil;tirmek.
 </li>
 <li>
 &Idot;statistiksel ve makine &ouml;&gbreve;renmesi tabanl&inodot; modeller kurmak, test etmek ve iyile&scedil;tirmek.
 </li>
 <li>
 Akt&uuml;erya, &uuml;r&uuml;n y&ouml;netimi ve i&scedil; analizi ekipleriyle yak&inodot;n temas halinde &ccedil;al&inodot;&scedil;mak; ihtiya&ccedil; analizi yapmak ve &ccedil;&ouml;z&uuml;mler &uuml;retmek.
 </li>
 <li>
 Model performans&inodot;n&inodot; d&uuml;zenli olarak takip ederek, iyile&scedil;tirme f&inodot;rsatlar&inodot;n&inodot; belirlemek ve hayata ge&ccedil;irmek.
 </li>
 <li>
 Sigortac&inodot;l&inodot;k sekt&ouml;r&uuml;ndeki yeni trendler, teknolojiler ve d&uuml;zenlemeleri takip ederek projelerde uygulamak; &scedil;irketin dijital d&ouml;n&uuml;&scedil;&uuml;m&uuml;ne katk&inodot; sunmak.
 </li>
 <li>
 Model sonu&ccedil;lar&inodot;n&inodot; ve veri analizi &ccedil;&inodot;kt&inodot;lar&inodot;n&inodot; anla&scedil;&inodot;l&inodot;r ve etkili bir &scedil;ekilde ilgili payda&scedil;lara (y&ouml;netim, i&scedil; birimleri) sunmak.
 </li>
 </ul>
</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://www.youtube.com/watch?v=UBSGOJBnuyc
 
 
 
 
 
 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

TikTak

<div>
 
 
 Are you ready to join the exciting journey of TikTak, leading car solution provider that revolutionizes the mobility habit of mega urbanites?
 
 
 
 
 
 
 TikTak is Turkey's youngest and fastest-growing car rental &amp; sharing company.
 
 
 
 
 
 We know the city is full of opportunity, full of excitement, full of life.
 
 
 
 
 
 For this reason; We are highlighting TikTak as a solution resource in order not to miss a moment in this wide experience pool. We are the new generation transportation brand for the new generation of urban residents, and we are a reason for the city to be experienced to the fullest. TikTak is the shortest way to get from home to work, from campus to concert.
 
 
 
 
 
 The city is bustling and lively, just like us. In this direction, our goal is to be an important part of daily mobility in city life.
 
 
 
 
 
 Our goal is also about freedom, innovation, and dynamism. Our work environment is a dynamic environment that supports innovation, where everyone can contribute with their ideas.
 
 
 
 
 
 We are looking for a
 
 Data Scientist
 
 for our rapidly growing teams in this environment.
 
 
 
 
 
 
 Your playground as a Data Scientist at TikTak
 
 
 
 
 
 <ul>
 <li>
 Develop and implement machine learning models and advanced analytics solutions to solve complex business challenges.
 </li>
 <li>
 Lead end-to-end data science projects, from problem definition and data preparation to model deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams, including data engineering, business intelligence, product teams and relevant business units, to drive data initiatives.
 </li>
 <li>
 Design and improve predictive models including but not limited to time series forecasting LTV, churn, segmentation, user behavior modelling etc.
 </li>
 </ul>
 
 
 
 
 
 Our game changer Data Scientist profile at TikTak
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 3+ years of professional experience in data science, machine learning, or related analytical roles.
 </li>
 <li>
 Proficiency in Python, with experience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
 </li>
 <li>
 Proficiency in SQL and experience working with large datasets.
 </li>
 <li>
 Proven ability to translate business problems into data-driven solutions with measurable impact.
 </li>
 <li>
 Strong ability to present complex findings in a clear and actionable manner to both technical and non-technical stakeholders.
 </li>
 <li>
 Strong experience in working with large-scale data, cloud-based solutions, and data engineering best practices.
 </li>
 <li>
 Familiarity with LLMs and agentic AI tools is a plus.
 </li>
 </ul>
 
 
 
 
 
 The benefits of TikTak offer you
 
 
 
 
 
 
 🪄 TikTak+ Budget
 
 
 🏖️ Holiday Budget
 
 
 📈 Stock Options Based on Company Alignment and Performance
 
 
 💰 Salary Bonus
 
 
 🚗 Mobility Budget
 
 
 🗓️ 20 Days of Annual Leave
 
 
 🩺 Private Health Insurance
 
</div>

Data Science Professional

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