data scientist

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remote - data engineer analyst Jobs in Istanbul

remote - data engineer analyst

senior software engineer Jobs in Istanbul

senior software engineer

machine learning engineer

Buluttan

<div>
 
 
 Job Overview
 
 
 
 We are looking for a
 
 Machine Learning Engineer
 
 who is willing to tackle the challenges of
 
 big weather data
 
 at Buluttan Weather Intelligence.
 
 
 
 
 
 
 Company Overview
 
 
 
 Buluttan is a Istanbul-based weather intelligence company providing services worldwide. We are working with large scale weather data and providing critical weather forecasts &amp; alerts &amp; algorithms for various industries. These include, but not limited to,
 
 renewable energy, mobility, logistics,
 
 etc&hellip; We do love meteorology and would like to mix it with cutting edge technology.
 
 
 
 
 
 Buluttan is highly invested in
 
 climate change research
 
 and its effects on people &amp; companies. We do have a social media presence as well where we are trying to create a weather-conscious community. You can follow us at Instagram
 
 (@buluttanapp
 
 ) or on LinkedIn (https://tr.linkedin.com/company/buluttan).
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design and implement regression and classification algorithms to improve the accuracy of short-term weather forecasts, focusing on
 
 renewable energy production
 
 and
 
 extreme weather alerts
 
 .
 </li>
 <li>
 
 Deploy
 
 machine learning models to production, analyze and track their performance.
 </li>
 <li>
 Analyze and interpret
 
 spatially complex datasets
 
 related to numerical weather prediction (NWP) models, radar and satellite imagery, atmospheric and climate variables.
 </li>
 <li>
 Assist in the creation of
 
 data visualizations and dashboards
 
 to provide insights for internal and external stakeholders.
 </li>
 <li>
 Stay ahead of the latest developments in the field of Meteorology &amp; Artificial Intelligence and drive Buluttan&rsquo;s AI vision in meteorology.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 B.Sc/M.Sc/PhD in Computer Science, Data Science, Mathematics, Statistics, Meteorology, Physics, or any related department.
 </li>
 <li>
 
 2+ years
 
 customer-facing, project-delivery experience, professional services, and/or consulting experience.
 </li>
 <li>
 Experience in working with ML models in
 
 production
 
 .
 </li>
 <li>
 Strong foundation in
 
 Machine Learning
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 ,
 
 SQL
 
 , and
 
 Git
 
 .
 </li>
 <li>
 Willingness to explore and actively use
 
 AI coding assistants
 
 (e.g., Cursor, Copilot, Claude Code) tools to accelerate development.
 </li>
 <li>
 Trying to follow
 
 best software development practices
 
 (clean code, testing, version control).
 </li>
 <li>
 Proven reputation of problem-solving techniques, attention to detail, stakeholder management, requirements gathering, and professional communication skills.
 </li>
 <li>
 
 Full ownership &amp; capability of managing responsibilities with minimal guidance.
 
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with MLOps best practices.
 </li>
 <li>
 Experience with experiment tracking tools (MLFlow, Weights &amp; Biases, etc.)
 </li>
 <li>
 Experience with time series regression &amp; forecasting algorithms.
 </li>
 <li>
 Experience working with weather data, radar and satellite image recognition.
 </li>
 <li>
 Familiarity with GCP &amp; data engineering pipelines.
 </li>
 <li>
 Having solved Physics based problems.
 </li>
 <li>
 Knowledge of data visualization tools (Grafana, Tableau, Looker).
 </li>
 <li>
 Passion for meteorology.
 </li>
 <li>
 An active stance on climate change &amp; sustainability.
 </li>
 </ul>
 
 
 
</div>

Machine Learning Engineer

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>

Commencis

<div><div>We are looking for a highly motivated and ambitious Cloud AI Engineer to join our team.</div><div>
</div><div>
Cloud AI Engineer is responsible for designing and delivering AI/ML projects on AWS Cloud by understanding and translating the clients&rsquo; business use cases to design and implement an integrated solution suitable to their needs. Cloud AI Engineer interacts with different internal and external roles like developers, security experts, solutions architects, etc.</div><div></div><div> 
If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!</div>
<h3 class="jobSectionHeader">Responsibilities
</h3><ul><li>Design, implement, and operate cloud-native AI/ML services that are secure, reliable, and cost-efficient ensuring that they meet the business objectives and adhere to service level agreements (SLA).</li><li>
Deploy and maintainAI applications on cloud- architecture.</li><li>
Build retrieval-augmented generation (RAG) stacks: embeddings, vector stores, chunking, and evaluation.</li><li>
Create MLOps foundations: experiment tracking, model registry, CI/CD for data &amp; models, and Infrastructure-as-Code.</li><li>
Investigate new techniques, tools, and methods that might increase efficiency among engineering &amp; technology and cloud teams, as well as leading execution processes of topics evaluated &amp; planned for roll-out.</li><li>
Collaborate with other technical leaders and business stakeholders to align all constraints and come up with solutions regarding project/product/initiative outputs.</li><li>
Be accountable for the reliability and security of cloud infrastructure and services.</li><li>
Provide visibility of performance, cost, and the security of cloud infrastructure and services.</li><li>
Drive continuous improvement, continuous delivery, and lean practices within the cloud team.</li><li>
Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense.</li><li>
Identify emerging technology solutions that reduce costs, increase efficiencies, enhance capabilities, reduce risk and improve security.</li><li>
Ensure that all cloud technology applications create a positive customer experience.</li></ul><h3 class="jobSectionHeader">
Qualifications
</h3><ul><li>BS/MS degree in Computer Science/Computer Engineering or related field</li><li>
Up to 2 years of similar job experience</li><li>
Proficiency in Unix/Linux environments.</li><li>
Experience in Gen AI/ML applications, security, compute, containerization, data, application integration, cost optimization, performance enhancement services and technologies on cloud</li><li>
Sound understanding of LLM systems: tokenization/embeddings, context management, guardrails, offline/online evaluation and cloud architecture design</li><li>
Familiarity with Amazon Bedrock (Claude/Titan/Cohere) for inference and SageMaker basics (training/inference endpoints).</li><li>
Code development in Python, GoLang</li><li>
Fluent in written and spoken English, in addition to Turkish</li></ul><div></div><h3 class="jobSectionHeader"> 
Nice to have</h3><ul><li>
Knowledge of other cloud providers such as Azure, GCP, Alibaba Cloud, etc.</li><li>
AWS certificates like GenAI Practitioner, Machine Learning Engineer &ndash; Associate, Data Engineer &ndash; Associate, Machine Learning&ndash; Speciality</li><li>
Experience with relational, NoSQL databases like MySQL, PostgreSQL, Microsoft SQL Server, DynamoDB, MongoDB, Cassandra etc.), vector databases (pgvector/FAISS, Pinecone, Weaviate) and feature stores (e.g., Feast)</li><li>
FinOps practices and cost/performance tuning for LLM inference (throughput, latency, caching).</li><li>
Experience with Amazon SageMaker Projects/Experiments/Model Registry and SageMaker Pipelines; ability to fine-tune open-source models (e.g., HuggingFace) using PEFT/LoRA/QLoRA and deploy via Real-time/Serverless/Async/MME endpoints.</li><li>
Knowledge of managed AI services (Textract, Comprehend, Transcribe, Rekognition, Kendra) and when to prefer &ldquo;build vs buy&rdquo; relative to Bedrock/SageMaker.</li></ul><div>
Why Commencis?</div><div>
</div><div>
We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:</div><div>
</div><div>
Competitive Compensation &amp; Benefits: We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from-home support, and a paid birthday off.</div><div>
</div><div>
Happier Weekdays: We offer flexible working hours, including a remote working option. Enjoy online events, guest speakers, office refreshments, a meeting-light culture, and many more perks to enhance your weekdays.</div><div>
</div><div>
Never Stop Learning: We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.</div><div>
</div><div>
Community &amp; Socials: We are a tight-knit community that loves gathering together. Our social activities include happy hours, workshops, a New Year party, breakfast &amp; lunch get-togethers, movie nights, and our Summer Festival.</div><div>
</div><div>
Open Culture: We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers&rsquo; voices and address any suggestions and questions you may have.</div><div></div><div> 
</div><div>
About Commencis</div><div></div><div> 
Join us in paving the way for a thriving digital society!</div><div></div><div> 
Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.</div><div></div><div> 
We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what&rsquo;s next. We value collaboration, curiosity, and an open mindset at work.</div><div></div><div> 
If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!</div><div>
</div><div>
We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.</div></div>

Cloud AI Engineer

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

Pazarama

<div>
 
 
 Hi, I've got something to share with you!
 
 
 
 
 
 
 My name is Pazarama.
 
 
 
 
 
 
 Who am I?
 
 
 
 
 
 
 I&rsquo;m an e-commerce platform that makes life easier for my customers and business partners&mdash;a place where you can find everything you need. My name is a blend of the words "Bazaar" and "Panorama." I'm here to offer a panoramic view of the e-commerce world, creating a marketplace where everyone can find what they&rsquo;re looking for. Plus, with the strength of being a subsidiary of &Idot;&scedil; Bank and my broad perspective, I aim to create a sustainable shopping ecosystem.
 
 
 I&rsquo;m everywhere, making it easy for you to reach me: Pazarama mobile, the Pazarama website, &Idot;&scedil;Cep, Maximum Mobile and physical stores.
 
 
 From hotel and flight bookings to car rentals, online shopping to transportation card top-ups, even fuel payments without leaving your car, and exciting sweepstakes&mdash;I provide an all-in-one platform to meet all your needs.
 
 
 But that's not all... I aim to please those who choose me by offering payment options packed with discounts, instalment plans, and rewards. I don't just make shopping easier; I make it more rewarding with everything I&rsquo;ve mentioned. I&rsquo;m constantly evolving, enhancing myself and my technologies for my users and business partners.
 
 
 
 
 
 
 So, what can I do for you?
 
 
 
 
 
 
 This is a journey, and we&rsquo;re in it together. We&rsquo;ll enhance your skills with career-supporting training and create opportunities to achieve your dreams together. Every step of the way, we&rsquo;ll make this journey more vibrant with your ideas, enthusiasm, and talents. In this adventure, where you won&rsquo;t be afraid of making mistakes, we can turn your dreams into reality together.
 
 
 If you want to join me on this journey, apply for the position below and become part of our team!
 
 
 
 
 
 Pazarama is with you on your career journey 💙
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 A great team player with a creative, self-initiative mindset
 </li>
 <li>
 Excellent communication skills and problem-solving abilities
 </li>
 <li>
 2+ years of experience working as Data Scientist, Machine Learning Engineer or equivalent
 </li>
 <li>
 BS/MS degree in quantitative field (data science, computer engineering/science, information systems, software engineering, mathematics, statistics, or a similar field), or equivalent experience
 </li>
 <li>
 Experience in applying statistical solutions to solving business problems
 </li>
 <li>
 Fluency in Python and SQL
 </li>
 <li>
 Experience using analytics related libraries and AI/ML frameworks (e.g. scikit-learn, pandas, PyTorch, Tensorflow, PySpark)
 </li>
 <li>
 Active engagement with new trends in technology
 </li>
 </ul>
 
 
 
 
 
 Responsible for:
 
 
 
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Perform mining, preparation and preprocessing of structured and unstructured data
 </li>
 <li>
 Converting data into meaningful insights and presenting information using data visualization tools and techniques
 </li>
 <li>
 Collaborate with stakeholders across the organization to create data-driven business solutions
 </li>
 <li>
 Conduct projects end-to-end from initial business case through development and production
 </li>
 <li>
 Design, develop and test machine learning and deep learning pipelines and platforms
 </li>
 <li>
 Focus on quality, accuracy and consistency of data, reporting data quality issues to both data owners and technical staff
 </li>
 </ul>
 
 
 
 
 
 Preferred if:
 
 
 
 
 
 <ul>
 <li>
 Strong experience in relational (SQL Server) and non-relational databases (Mongo DB)
 </li>
 <li>
 Knowledge of typical BI/data analytics tools (PowerBI/Tableau)
 </li>
 <li>
 Fluency in other programming languages (e.g. Scala, C#, Java) is a plus
 </li>
 <li>
 Hands-on experience with workflow management platforms (e.g. AirFlow, MLFlow, MLRun)
 </li>
 <li>
 Experience with Computer Vision, Image Processing, Natural Language Processing (NLP) techniques, recommendation systems and applications
 </li>
 <li>
 Participation in competition platforms like Kaggle
 </li>
 <li>
 Experience in cloud platforms (Amazon Web Services, Google Cloud Platform or Microsoft Azure) with related tools
 </li>
 <li>
 Experience in modern DevOps practices and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of recommendation and personalization systems, with experience in e-commerce environments is a big plus
 </li>
 </ul>
 
 
 
 
 
 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 Topkap&inodot; Dan&inodot;&scedil;manl&inodot;k Elektronik Hizmetler Pazarlama ve Ticaret A.&Scedil;. 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. Ayd&inodot;nlatma Metni&rsquo;ne
 
 https://cdn.pazarama.com/docs/is-basvurusu-aydinlatma-metni.pdf
 
 linkinden ula&scedil;abilirsiniz. &Idot;lan&inodot;m&inodot;za ba&scedil;vuru yapman&inodot;z halinde ilgili metnin t&uuml;m&uuml;n&uuml; onaylam&inodot;&scedil; kabul edileceksiniz.
 
 
</div>

Data Scientist

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 
 
 We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.
 
 
 
 
 
 
 About the Role
 
 
 
 As a Feature Engineer, you will act as the crucial link transforming raw data into intelligent inputs for machine learning models. You'll build the robust, scalable systems that unlock the potential of our Data Scientists, turning complex, messy data streams into the high-value, predictive feature sets that drive model success. You will play a key role in achieving optimal AI performance by providing the single source of feature truth&mdash;consistent, reliable, and production-ready features&mdash;that power our most critical models and business decisions.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design and implement robust and scalable backend services using Go.
 </li>
 <li>
 Collaborate closely with product managers to ensure seamless integration and meet business requirements.
 </li>
 <li>
 Write clean, maintainable, and efficient code.
 </li>
 <li>
 Develop well-designed APIs to interface with frontend services, databases, and other third-party services.
 </li>
 <li>
 Monitor system performance and identify bottlenecks, bugs, and ways to improve backend efficiency and speed.
 </li>
 <li>
 Implement security and data protection best practices.
 </li>
 <li>
 Conduct code reviews, ensuring high-quality code.
 </li>
 <li>
 Stay updated with current best practices in Golang development and introduce them to our processes.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 3+ years of experience in backend development, with a focus on Go.
 </li>
 <li>
 Strong knowledge of Go programming language, paradigms, constructs, and idioms.
 </li>
 <li>
 Familiarity with the Go's code packaging and tooling.
 </li>
 <li>
 Experience with Go frameworks like Gorilla Mux, Go-Kit, or Gin.
 </li>
 <li>
 Strong understanding of system architecture, object-oriented design, and design patterns.
 </li>
 <li>
 Knowledge of common Goroutine and channel patterns.
 </li>
 <li>
 Proficient understanding of code versioning tools, such as Git.
 </li>
 <li>
 Experience with databases (SQL or NoSQL)
 </li>
 <li>
 Knowledge on high volume of data.
 </li>
 </ul>
 
 
 
 
 
 Nice-to-haves
 
 
 <ul>
 <li>
 Knowledge of Docker and Kubernetes.
 </li>
 <li>
 Familiarity with CI/CD pipelines.
 </li>
 <li>
 Knowledge of Feature Stores
 </li>
 <li>
 Experience on Flink DataStream framework
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 A customizable FlexBenefits budget &mdash; Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 
 
 Personalized training allowance and learning opportunities &mdash; Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply now and let&rsquo;s take the next step together.
 
 
 Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Feature Engineer

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>

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