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TRB 360

<div>
 
 
 Quantitative Researcher
 
 
 
 
 
 
 
 
 
 We are seeking a Quantitative Researcher for our company operating in the oil and gas sector.
 
 
 
 
 
 Location: &Idot;stanbul- Ankara
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a Quantitative Researcher to join our growing commodities research team.
 
 
 You will work on developing, testing, and implementing data-driven trading and forecasting models using quantitative and machine learning techniques.
 
 
 
 
 
 This role is ideal for someone with a strong analytical mindset, programming skills, and a passion for financial markets &mdash; prior experience in commodities is not required.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develop and test quantitative models for commodity price forecasting and market analysis.
 </li>
 <li>
 Work with time series and alternative datasets to extract predictive signals.
 </li>
 <li>
 Research and implement machine learning algorithms for forecasting and trading strategies.
 </li>
 <li>
 Collaborate with data engineers and traders to integrate models into production workflows.
 </li>
 <li>
 Continuously monitor model performance and improve robustness and interpretability.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 1&ndash;2 years of experience as a Quantitative Researcher, Data Scientist, or similar analytical role.
 </li>
 <li>
 Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, etc.).
 </li>
 <li>
 Solid understanding of statistics, econometrics, and machine learning.
 </li>
 <li>
 Experience with time series modeling (ARIMA, XGBoost, LSTM, etc.) is a plus.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Good communication skills and ability to work collaboratively in a research-driven environment.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Exposure to financial markets, especially commodities or macro data.
 </li>
 <li>
 Knowledge of quantitative finance concepts (futures, hedging, spreads, volatility, etc.).
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 Continuous Learning:
 
 A culture of continuous development with opportunities to attend conferences and in-house tech events to stay up-to-date on the latest trends (everyone is encouraged to share knowledge internally and with the community).
 </li>
 <li>
 
 Training Resources:
 
 Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.
 </li>
 <li>
 
 Allowances:
 
 Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.
 </li>
 <li>
 
 Home Office Support:
 
 A one-time gift voucher to help you meet your tech needs and set up an ergonomic workspace at home.
 </li>
 <li>
 
 Health Benefits:
 
 Private health insurance coverage for your peace of mind.
 </li>
 <li>
 
 Birthday Leave:
 
 An extra day of leave on your birthday to celebrate your special day.
 </li>
 </ul>
 
 
</div>

Quantitative Researcher (İstanbul- Ankara)

Rollic

<div>
 
 Rollic is an Istanbul-based game developer and publisher.
 
 
 Founded in 2019 and acquired in October 2020 by Zynga, who joined the Take-Two roof as of May 2022.
 
 
 Rollic has over 3.5 billion downloads across its diverse portfolio of games and, thanks to an intensive development process utilizing a massive test pipeline, has a steady cadence of globally hit titles such as
 
 
 Color Block Jam, Timeline Up, Crowd Express: Boarding Puzzle, Hole People, and Knit Out
 
 
 , all of which have gained millions of downloads worldwide within a few months after their release.
 
 
 
 
 
 We are looking for
 
 Data Scientist
 
 ;
 
 
 
 
 
 
 
 
 
 Main Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Using our modern tech stack;
 
 
 AWS, Snowflake, Airflow, Tableau
 
 
 and
 
 
 DBT
 
 
 to develop innovative tools;
 </li>
 <li>
 Developing and maintaining
 
 
 A\B experiment system,
 
 
 </li>
 <li>
 Working closely with gaming teams to craft, test, verify, and implement machine learning models to make our games better,
 </li>
 <li>
 Applying statistical methodologies to evaluate performance and accounting for uncertainties in major initiatives;
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desired Skills and Qualifications
 
 
 
 
 
 <ul>
 <li>
 BS in Computer Science, Math, Statistics, Economics, or related fields; Master or Ph.D.,
 </li>
 <li>
 3+ years of work experience in data science, machine learning, or analytics role,
 </li>
 <li>
 Demonstrated experience with some or all of the following: A\B testing systems, machine learning, statistics, data visualization,
 </li>
 <li>
 Proficient in Python and SQL; Experience in applying machine learning on large datasets, preferably using Snowflake or similar cloud data systems.
 </li>
 <li>
 Strong written and oral communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Discover our perks and benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary to help you reach your highest potential
 </li>
 <li>
 Meal compensation
 </li>
 <li>
 Relocation support to Istanbul
 </li>
 <li>
 State-of-the-art equipment in your welcome package
 </li>
 <li>
 Gaming room &amp; lounge area to relax and recharge
 </li>
 <li>
 A pet-friendly office where your furry friends are welcome
 </li>
 <li>
 Gym area in the Rollic office
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 24/7 online well-being &amp; mental health support
 </li>
 <li>
 Learning &amp; development via Take-Two&rsquo;s employee program
 </li>
 <li>
 A chance to take responsibility and improve your skills continuously.
 </li>
 </ul>
 
 
</div>

Data Scientist

çağrı mimarlık

Belediye i&#351; takibi yapabilecek ve mimari proje &ccedil;izim s&uuml;recine destek olabilecek mimar veya in&#351;aat teknikeri aramaktay&#305;z.BA&#350;AK&#350;EH&#304;R / &#304;STANBUL&#304;&#351; T&uuml;r&uuml;: Tam zamanl&#305;Maa&#351;: 25.000,00TRY - 50.000,00TRY ayl&#305;k

MİMAR-İNŞAAT TEKNİKERİ

TNC MÜHENDİSLİK

KADIK&Ouml;Y SAHRAY&#304;CED&#304;T MAHALLES&#304;NDE BULUNAN KL&#304;MA YETK&#304;L&#304; SERV&#304;S&#304;NDE&Ccedil;ALI&#350;MAK &Uuml;ZERE TECR&Uuml;BEL&#304; USTA , KALFA VEYA YET&#304;&#350;T&#304;R&#304;LMEK &Uuml;ZERE YARDIMCI ELEMAN ARAYI&#350;IMIZ MEVCUTTUR.&#304;&#351; T&uuml;r&uuml;: Tam zamanl&#305;

KLİMA TEKNİSYENİ

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

Gizli Şirket

<div>
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Developing artificial intelligence and machine learning models for the needs of the company
 </li>
 <li>
 To conduct literature research in line with the project requirements
 </li>
 <li>
 Implementing and optimizing different machine learning algorithms
 </li>
 <li>
 To monitor, evaluate and continuously improve the performance of the models
 </li>
 <li>
 Planning, managing and executing artificial intelligence projects
 </li>
 <li>
 To follow the latest developments and innovations in the field of artificial intelligence and integrate them into the company
 </li>
 <li>
 To provide training and support on artificial intelligence technologies to other departments within the company
 </li>
 <li>
 Working in accordance with ethical and safety standards in artificial intelligence applications
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in Computer Engineering, Data Science, Artificial Intelligence, or a related field
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Experienced in artificial intelligence, machine learning and data science
 </li>
 <li>
 Demonstrate proficiency in the Python programming language and actively write code in projects
 </li>
 <li>
 Experience in artificial intelligence and machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, Pandas, Numpy
 </li>
 <li>
 Developed prototypes and proofs of concept in one or all of the fields such as LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
 </li>
 <li>
 To have knowledge about image processing, big data processing and database management systems
 </li>
 <li>
 Problem-solving skills and analytical thinking ability
 </li>
 <li>
 Prone to teamwork, high communication skills
 </li>
 <li>
 Open to innovations and eager to learn
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Engineer

Epiroc

<div>
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 To carry out loading and unloading of customer machine(s) from transportation vehicles at customer sites.
 </li>
 <li>
 Within the scope of its competence, to eliminate malfunctions in products operating at customer sites and to carry out the necessary periodic maintenance together with customer personnel,
 </li>
 <li>
 Notifying the customer's service/maintenance/component replacement/machine warranty requests to his/her superior,
 </li>
 <li>
 Working in an organized manner with the warranty coordinator, providing all the necessary information within the scope of the machine warranty, and mounting the relevant machine part on the machine. To carry out relevant checks within the scope of safety campaigns, to report the parts included in the campaign to the relevant machines,
 </li>
 <li>
 Reporting chronic malfunctions and solutions in machines operating at the customer site to the supervisor,
 </li>
 <li>
 Sharing customer machine park working hours with the head office monthly,
 </li>
 <li>
 Complaint from customer etc. Reporting the situation to your superior,
 </li>
 <li>
 Maintenance, fault solving etc. Actively and regularly use up-to-date programs (Documine, ACIGN, etc.) required to carry out the work,
 </li>
 <li>
 Starting the job assigned to it in the electronic work order (MAM), completing the "Work Safety First" tab before the start of the job, recording the daily working hours regularly on the work order, starting the return process to the warehouse if there are unused parts in the job, closing the relevant work order when the job is completed, and informing your superior,
 </li>
 <li>
 To identify the root cause and spare parts that cause the machine or machine part to malfunction at customer sites, to find the materials from the relevant spare parts list, to notify the spare part offer request to the superior in a timely manner,
 </li>
 <li>
 Applying rigscan/expertise protocol to customer machines and reporting the machine performance to the customer by preparing a technical report, preparing a list of spare parts and forwarding them to the supervisor for control and quotation.
 </li>
 <li>
 To carry out the assembly of the original spare parts delivered to the customer workshops for maintenance and troubleshooting, together with the customer personnel, to test them, to record the performance values, to deliver the products to the customer after their maintenance has been done, their problems have been solved, and in working condition.
 </li>
 <li>
 To provide regular training to customer personnel on machine maintenance and fault finding.
 </li>
 <li>
 To engage in application, area layout and behavior in accordance with the 5S technique applied in customer workshops, and to warn other interacting workshop personnel in case of non-conformities. Reporting additional deficiencies to the customer manager under his/her responsibility.
 </li>
 <li>
 To ensure appropriate working conditions in applications that fall within the scope of the hot job definition that must be implemented inside or outside the customer workshop, to fill out the relevant document, record it and notify the supervisor.
 </li>
 <li>
 To separate hazardous/non-hazardous wastes that may arise as a result of customer workshop practices, by complying with temporary waste storage rules and by complying with the separation at source policy.
 
 
 </li>
 </ul>
 
 Knowledge, Skills And Experience Required
 
 
 
 <ul>
 <li>
 Being at least an industrial vocational high school graduate,
 </li>
 <li>
 Having at least 2 years of experience in similar jobs,
 </li>
 <li>
 Having good knowledge of electricity, mechanics, hydraulics and pneumatics,
 </li>
 <li>
 Having a 5S training certificate,
 </li>
 <li>
 Having a Machine Maintenance Level 4 certificate from a professional qualification institution (except for exemption),
 </li>
 <li>
 Having a work truck, wheel loader and ground drilling machine operator certificate,
 </li>
 <li>
 Having a forklift, overhead crane operator certificate, hot work: oxygen, gas welding etc. certificate,
 </li>
 <li>
 Knowing English at an intermediate level,
 </li>
 <li>
 Using Microsoft Office applications at a moderate level,
 </li>
 <li>
 Adapting flexible working hours when necessary,
 </li>
 <li>
 No restrictions on domestic and international travel for technical training,
 </li>
 <li>
 Having completed military service for male candidates
 
 
 </li>
 </ul>
 
 Required Competencies
 
 
 
 <ul>
 <li>
 Having time management and organizational skills,
 </li>
 <li>
 Having communication skills,
 </li>
 <li>
 Having analytical thinking ability,
 </li>
 <li>
 Having training skills,
 </li>
 <li>
 Having teamwork skills,
 </li>
 <li>
 Being open to cooperation and continuous development,
 
 
 </li>
 </ul>
 
 It all starts with people.
 
 The world needs metals and minerals for the energy transition and our cities and infrastructure must be developed to serve a growing population. To succeed, we need to speed up the shift towards more sustainable mining and construction industries. We at Epiroc accelerate this transformation, together with customers and business partners in more than 150 countries, by developing and providing innovative and safe equipment, digital solutions, and aftermarket support.
 
 
 All new thinkers are welcome. We are looking for those who want to develop, grow, and dare to think new. In Epiroc we attract, develop, and retain diverse talent valuing authenticity and unique perspectives, driving our spirit of innovation. We foster an inclusive culture where diversity isn't just a goal but a part of our values and way of working. This is how we do business for a sustainable future.  Learn more at www.epiroc.com
</div>

Project Technician - Artvin Murgul

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