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senior data scientist

Bilyoner

<div>
 
 We are looking for a Senior Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
 
 
 
 
 <ul>
 <li>
 Min. 3 year of relevant experience,
 </li>
 <li>
 PhD, MS or Bachelors degree in Computer Science, Statistics or other quantitative field,
 </li>
 <li>
 Experience in building Algorithms from scratch and take it to production in a scalable way,
 </li>
 <li>
 Extensive practical hands-on experience in exploratory data analysis,
 </li>
 <li>
 The clear understanding of modern machine learning and statistical analysis methods,
 </li>
 <li>
 Proven experience at SQL and programming language Python,
 </li>
 <li>
 Interpret data, analyze results using statistical techniques and develop interactive dashboards, reports etc.,
 </li>
 <li>
 Provide technical expertise on data storage structures, data mining, data cleansing and data visualization.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ayd&inodot;nlatma Metni
 
 
 
 
 https://bilyoneradmins-my.sharepoint.com/:w:/g/personal/apply_bilyoner_com/EVkBNXP6V3FJss0cuCBoqIkB7OoIg1U1M4WtwWRvpenQfQ?e=EbB2ks
 
 
 
 
</div>

Senior Data Scientist

NewMind AI

<div>I - Who We Are?
NewMind AI is an innovative and pioneering company specializing in leveraging big data through a comprehensive and holistic approach. From data digitization and classification to deriving meaningful insights and extracting actionable outputs, we employ advanced taxonomies and ontologies to organize data in a structured and insightful manner, creating a semantic layer to better understand corporate data. Our mission extends beyond mere data structuring; we empower companies to transform their data into actionable insights, facilitating dynamic corporate governance.
With over 300 task-oriented and domain-specific AI models, built using an orchestration of experts framework, we provide robust solutions for dynamic corporate governance. By implementing dynamic knowledge network structures, we develop advanced AI models that ensure effective management of corporate data in the business world. Our expertise spans AI-driven business solutions, including AI legal tech products, excelling in natural language processing, deep learning, machine learning, data analysis, and data visualization.
Headquartered in YT&Uuml; Teknopark, Maslak, Istanbul, and operating four specialized laboratories&mdash;Data Visualization Lab in India, Data Taxonomy Lab in Bomonti, and Big Data and Legal Tech Labs in Maslak&mdash;we are leaders in big data analysis in T&uuml;rkiye and beyond. Our flagship dynamic knowledge management platforms, Mecellem, Malumat, and Mahfuz, empower professionals across various industries by streamlining complex tasks, optimizing decision-making, and managing business risks with precision.
Through our cutting-edge AI tools, including Generative AI, LLMs, text-to-speech and speech-to-text, image recognition, voice recognition, function call, graphRAG, OCR, blockchain and RAG, we set new standards in business technology. We deliver smarter, more dynamic solutions for the business world, both in T&uuml;rkiye and internationally. 
II - Who We Are Looking For?
We are seeking a highly skilled and experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in data science, statistical analysis, and machine learning, with a proven track record of developing and deploying data-driven solutions. This role requires a deep understanding of data analysis techniques, statistical methods, and proficiency in relevant programming languages and tools. Demonstrates the ability to switch between multiple concurrent projects while staying focused and productive, and quickly learns and adapts to new tools and technologies as needed. 
III - What Will Be Your Responsibilities?
(i) Develop and deploy advanced data science models and algorithms to solve complex business problems. (ii) Perform in-depth data analysis to extract insights, identify trends, and inform strategic decisions. (iii) Collaborate with cross-functional teams to translate business requirements into data science solutions. (iv) Stay up-to-date with the latest advancements in data science and machine learning fields. (v) Optimize existing models and analytical processes for improved performance and efficiency. (vi) Implement code quality and continuous integration best practices to ensure robust and reliable solutions. 
IV - What Is Required from You?
(i) Qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Master's or PhD degree is a plus. (ii) Experience: 5+ years in data science, leading data-focused teams and deploying complex models and predictive analytics. (iii) Expertise: Deep expertise in Python and R, including advanced proficiency with key data science libraries such as pandas, NumPy, scikit-learn, and PyTorch; expertise in statistical analysis, machine learning algorithms, and data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn); proficient in end-to-end model lifecycle management: data analysis, preprocessing, training, validation of GenAI models, and containerization (Docker); experience with big data technologies (e.g., Hadoop, Spark) and advanced database proficiency (NoSQL/SQL). (iv) Knowledge: Expertise in database technologies, with advanced proficiency in at least one of NoSQL (e.g., Elasticsearch, MongoDB) or SQL (e.g., Postgres, MySQL) for complex data analysis. (v) Skills: Self-motivated, organized, proactive, and flexible, with strong leadership and project management skills. (vi) Language: Fluent in Turkish and English (written and spoken) for effective communication with international teams and clients. (vii) Competencies: Exceptional analytical and problem-solving skills; ability to conduct comprehensive error analysis and refine models; excellent communication and collaboration skills, with the ability to convey complex technical findings to both technical and non-technical stakeholders through clear visualizations, insightful reports, and compelling presentations; proven ability to work independently and lead cross-functional teams; strong business acumen to deliver actionable insights aligned with organizational goals; experience proactively monitoring model drift and assessing data quality to ensure reliability, fairness, and consistency in production systems; commitment to self-driven learning and adaptability to company-specific contexts. 
V - Why Work at NewMind AI?
NewMind AI offers a unique opportunity for ambitious young professionals seeking to make a real impact in the rapidly growing field of AI. As a company at the forefront of AI innovation, we are driven by a strong mission to empower businesses with actionable insights derived from data. This translates to a dynamic and stimulating work environment where you will be challenged to think critically, develop your skills, and contribute to groundbreaking projects. Here are some key reasons why NewMind AI is an ideal place for young talent: (i) be a part of something bigger: Our work goes beyond simply developing AI models. We are shaping the future of business and helping organizations navigate the complex world of data-driven decision-making; (ii) work with leading experts: You will be surrounded by a team of passionate and knowledgeable individuals who are experts in their fields. This collaborative environment fosters continuous learning and growth; (iii) gain valuable experience: You will have the opportunity to work on diverse projects, utilizing cutting-edge AI tools and technologies, including Generative AI, LLMs, and more; (iv) make a real difference: Your contributions will directly impact our company's growth and success, contributing to the advancement of AI technology and its positive impact on the world; (v) global reach: As a company with a global presence, you will be exposed to a diverse range of perspectives and opportunities to work with clients and partners from around the world; (vi) invest in your future: NewMind AI is committed to supporting its employees' professional development and offers opportunities for growth within the company. Engage with open-source AI innovation: Monitor and participate in upstream open-source AI/ML communities, evaluate emerging AI/ML technologies, and explore opportunities for integration and collaboration. You&rsquo;ll also have the chance to actively contribute to the development of open-source projects, reinforcing your expertise while advancing innovation across the ecosystem. 
If you are a driven and ambitious young professional eager to make your mark in the world of AI, NewMind AI is the place for you.</div>

LC Waikiki

<div>
 
 
 Are You Ready to Join LC Waikiki&rsquo;s Digital Transformation Journey? 🚀
 
 
 
 With over e-commerce operations in 14 countries,1300 stores worldwide and a strong presence in 60 countries, we embark on a great journey embracing the philosophy that 'Everyone Deserves to Dress Well.' Beyond the world of fashion, we are also pursuing significant goals in technology and digital transformation. At LC Waikiki&rsquo;s Digital Transformation and IT Department, we&rsquo;re shaping the future with over 850 experts, focusing on innovation and collaboration. Using Agile/Scrum methodologies, we strive to become a more efficient and dynamic team every day. 🚀
 
 
 
 
 
 We are looking for
 
 Mid/Senior Data Scientist!
 
 
 
 
 
 
 
 What We Offer:
 
 Our projects touch not only the retail world but also every corner of the digital realm. If you&rsquo;re excited to be part of this journey, here are the opportunities awaiting you:
 
 
 
 
 
 
 Project Leadership and Delivery:
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of advanced analytics models to drive business decisions,
 </li>
 <li>
 Manage end-to-end delivery of data science projects, ensuring timely completion and high-quality results,
 </li>
 <li>
 Collaborate with cross-functional teams to understand business needs, formulate analytical approaches, and communicate insights..
 </li>
 </ul>
 
 
 
 
 
 Data Modeling and Analysis:
 
 
 <ul>
 <li>
 Develop and implement models for tabular, time series, recommendation, computer vision and LLM problems,
 </li>
 <li>
 Apply deep learning, machine learning, statistical analysis, and algorithmic techniques and strategies to large datasets to solve complex problems,
 </li>
 <li>
 Design and track ML experiments,
 </li>
 <li>
 Devise model validation strategies.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Management:
 
 
 <ul>
 <li>
 Act as a primary point of contact for data science inquiries and projects from business stakeholders,
 </li>
 <li>
 Translate complex technical details into actionable business insights,
 </li>
 <li>
 Prepare and present reports and findings to senior management.
 </li>
 </ul>
 
 
 
 
 
 Innovation and Research:
 
 
 <ul>
 <li>
 Stay abreast of the latest developments in data science and machine learning technologies,
 </li>
 <li>
 Explore new methodologies and tools to improve existing systems and workflows,
 </li>
 <li>
 Contribute to the innovation pipeline by proposing and piloting new solutions.
 </li>
 </ul>
 
 
 
 
 
 Team Development and Mentoring:
 
 
 <ul>
 <li>
 Mentor junior data scientists, providing guidance and support in their professional development,
 </li>
 <li>
 Foster a collaborative team environment that encourages knowledge sharing and professional growth.
 </li>
 </ul>
 
 
 
 
 
 Who Are We Looking For?
 
 We&rsquo;re looking for a passionate and innovative
 
 Mid/Senior Data Scientist
 
 who follows technology trends and continuously seeks new challenges. If you have:
 
 
 
 
 <ul>
 <li>
 Minimum of 2 years of experience
 
 (retail or e-commerce preferred)
 
 in a
 
 data science
 
 role, with a proven track record of successful project delivery.
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 </li>
 <li>
 Strong understanding of
 
 LLMs,
 
 their architecture, and associated applications, including
 
 RAG systems
 
 and
 
 agentic workflows
 
 .
 </li>
 <li>
 Proficiency in
 
 deploying batch
 
 &amp;
 
 api based ML
 
 inference solutions,
 </li>
 <li>
 Model deployment experience with
 
 big data ecosystems
 
 and
 
 cloud platforms
 
 such as
 
 AWS, Google Cloud
 
 , or
 
 Azure
 
 </li>
 <li>
 Extensive experience with machine
 
 learning libraries
 
 and
 
 frameworks
 
 (e.g.,
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 ,
 
 PyTorch
 
 ),
 </li>
 <li>
 Extensive knowledge of ML metrics suitable to the problem
 </li>
 <li>
 Knowledge about model monitoring and drift detection strategies,
 </li>
 <li>
 Expertise in
 
 SQL
 
 and experience with
 
 big data technologies
 
 (e.g., Spark),
 </li>
 <li>
 Excellent analytical, problem-solving, and organizational skills,
 </li>
 <li>
 Excellent presentation and data visualization skills,
 </li>
 <li>
 Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 
 
 Then we might be looking for you!
 
 
 
 
 
 
 What&rsquo;s Waiting for You:
 
 
 <ul>
 <li>
 
 Hybrid Work Option:
 
 At our modern office in Giyimkent, Istanbul.
 </li>
 <li>
 A team culture focused on
 
 collaboration and inclusivity
 
 .
 </li>
 <li>
 The chance to work with
 
 cutting-edge technology
 
 and tools.
 </li>
 <li>
 
 Ongoing training and professional development
 
 opportunities.
 </li>
 <li>
 Discounts on
 
 LC Waikiki products
 
 and much more!
 </li>
 </ul>
 
 
 
 
 
 Join Us!
 
 
 
 We&rsquo;re excited to meet software developers who want to leave their mark in the digital world while helping us achieve our big goals. If this opportunity excites you, apply now and become part of our digital transformation journey!
 
 
 
 
 
 
 Hiring Process:
 
 
 
 Application
 
 <ul>
 <li>
 Interview / Technical Exam
 </li>
 <li>
 Assessment Center Activities
 </li>
 <li>
 Reference Check
 </li>
 <li>
 Offer (Varies by position)
 </li>
 </ul>
 
 
</div>

Mid/Senior Data Scientist

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

Eczacıbaşı Holding

<div>
 
 
 Eczac&inodot;ba&scedil;&inodot; Holding
 
 
 
 
 
 
 Established by Dr. Nejat F. Eczac&inodot;ba&scedil;&inodot; in 1942, Eczac&inodot;ba&scedil;&inodot; Group is one of Turkey's leading industrial conglomerates, operating primarily in construction products, consumer products, healthcare, and natural resources sectors for both national and international markets. It has a total of 50 entities, including one foreign partnership, more than 13,500 employees also engaging in real estate development, natural resources, and information technology.
 
 
 
 
 
 
 What Do We Expect from Our New Team Member?
 
 
 <ul>
 <li>
 If you can design and implement Generative AI solutions that enhance business value&mdash;developing use cases, integrating LLMs into analytical workflows, and building intelligent systems that support decision-making and innovation,
 </li>
 <li>
 If you can lead and contribute to end-to-end Gen AI and advanced analytics projects, transforming data into strategic insights and scalable solutions,
 </li>
 <li>
 If you can design, fine-tune, and deploy LLMs or RAG pipelines to meet specific business needs, ensuring high performance and relevance,
 </li>
 <li>
 If you are passionate about researching cutting-edge Gen AI trends, experimenting with new architectures, and turning prototypes into production-ready tools,
 </li>
 <li>
 If you are capable of monitoring, evaluating, and optimizing Gen AI model performance under evolving conditions and use cases,
 </li>
 <li>
 If you are eager to shape and scale our Gen AI ecosystem, collaborating with other teams and advocating for responsible AI practices.
 </li>
 </ul>
 
 
 
 
 
 You are exactly the person we are looking for!
 
 
 
 
 
 
 
 Your team is waiting for you!
 
 
 
 
 
 
 
 What kind of teammate are we looking for?
 
 
 <ul>
 <li>
 A degree in Engineering, Computer Science, Mathematics, Statistics, or a related field. A Master's or PhD in AI, NLP, or Data Science is a strong plus.
 </li>
 <li>
 Minimum of 5 years of experience in data science, with hands-on experience in Gen AI, NLP, or LLM development.
 </li>
 <li>
 Strong knowledge and experience in training, fine-tuning, and evaluating Large Language Models (LLMs).
 </li>
 <li>
 Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and prompt engineering techniques.
 </li>
 <li>
 Experience developing endpoints, APIs, or lightweight web apps (e.g., Dash, Flask, Streamlit, React) to deliver Gen AI solutions.
 </li>
 <li>
 Ability to optimize Gen AI models for performance, cost-efficiency, and business relevance.
 </li>
 <li>
 Proficiency in Python (Hugging Face Transformers, LangChain, Pandas, Scikit-learn, TensorFlow/PyTorch) and SQL.
 </li>
 <li>
 Experience with cloud platforms, especially Microsoft Azure AI Foundry or AWS, and MLOps tools are a plus.
 </li>
 <li>
 If you enjoy analytical thinking and research, are curious about new technologies, and have a strong desire to learn,
 </li>
 <li>
 If you are prone to teamwork and interpersonal abilities.
 </li>
 <li>
 Proficiency in English is preferred.
 </li>
 </ul>
 
 
 
 
 
 &laquo;You should live your career, development, life and future at Eczac&inodot;ba&scedil;&inodot;!&raquo;
 
 
 
 
 
 
 
 What is here for you?
 
 
 
 You can continuously improve your personal, professional, and technical competencies by participating in our education programs that support you and your career,
 
 
 Opportunities for global opportunities and rotation among more than 120 international markets among more than 40 organizations can always knock on your door,
 
 
 At Eczac&inodot;ba&scedil;&inodot;, leave entitlements are calculated based on the employee's total work experience and come with your employment,
 
 
 We always applaud successes with different reward methods,
 
 
 With work models differentiated according to the nature of the job, you can take advantage of location-independent or hybrid work opportunities and determine your own working hours with flexible working hours,
 
 
 Being a mother or father at Eczac&inodot;ba&scedil;&inodot; is a privilege. Monthly nursery aid is provided to working mothers at Eczac&inodot;ba&scedil;&inodot;, and working fathers are entitled to 21 days of paternity leave. We are determined to ensure equal opportunities in employment,
 
 
 We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or seniority status
 
 #WeDoNotDifferentiateBetweenJobsForWomenAndMen.
 
 
 
 
</div>

Senior Data Scientist (Generative AI)

Dream Games

<div>
 
 We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
 </li>
 <li>
 Monitoring the integrity and validity of the reported data
 </li>
 <li>
 Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience in prediction, modeling, and forecasting
 </li>
 <li>
 Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
 </li>
 <li>
 Advanced SQL skills
 </li>
 <li>
 High proficiency in Python or R
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Appreciation and understanding of teamwork
 </li>
 </ul>
</div>

Data Scientist

Odeabank

<div>
 
 
 Advanced Analytics and Data Science - Senior Specialist
 
 
 
 
 
 
 We&rsquo;re Hiring: Advanced Analytics and Data Science Team
 
 
 Are you ready to bring your data science expertise into a fast-paced, agile, and impact-driven environment? We&rsquo;re looking for a Senior Data Scientist to join our growing Advanced Analytics and Data Science (CoE) team &mdash;where you&rsquo;ll work on end-to-end data science projects that directly shape the future of our business.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 As part of the CoE, you'll collaborate across diverse domains including finance, marketing, operations, credit risk, and AI applications. Our projects are fast-moving and solution-oriented, often launched from scratch and built into production in weeks. You'll have the chance to work with top-tier talent, develop scalable solutions, and present your work to senior leadership &mdash; driving real business impact at every step.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing:
 
 
 
 
 
 <ul>
 <li>
 Lead and contribute to end-to-end data science projects: from business understanding to model deployment
 </li>
 <li>
 Design, prototype, and implement machine learning and AI solutions using Python
 </li>
 <li>
 Collaborate with cross-functional teams in finance, marketing, risk, and operations to deliver actionable insights
 </li>
 <li>
 Translate business problems into data science opportunities
 </li>
 <li>
 Ensure high code quality through version control (Git), code reviews, and adherence to software development best practices
 </li>
 <li>
 Query and manipulate data using SQL and manage workflows using bash and automation tools
 </li>
 <li>
 Contribute to CI/CD pipelines for ML/AI deployment
 </li>
 <li>
 Communicate findings effectively to technical and non-technical stakeholders, including senior leadership
 </li>
 <li>
 Stay up-to-date with the latest developments in AI, ML, and data science tools
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a STEM field, Economics, or Finance
 </li>
 <li>
 3+ years of relevant experience in data science, advanced analytics, or applied ML
 </li>
 <li>
 Expertise in Python and common data science libraries (pandas, scikit-learn, etc.)
 </li>
 <li>
 Strong knowledge of relational databases and fluency in SQL
 </li>
 <li>
 Hands-on experience with ML and AI algorithms
 </li>
 <li>
 Exposure to bash scripting and workflow automation
 </li>
 <li>
 Experience working in agile teams
 </li>
 <li>
 Familiarity with Git and collaboration tools
 </li>
 <li>
 Strong understanding of software development best practices
 </li>
 <li>
 Exposure to CI/CD practices for data science or ML pipelines
 </li>
 <li>
 Excellent communication and problem-solving skills
 </li>
 </ul>
 
 
 
 
 Ready to take the next step in your data science journey? Apply now and be part of a collaborative, high-impact team where your work matters from day one.
 
 
 
</div>

Advanced Analytics and Data Science - Senior Specialist

Explore 1103+ Senior data scientist in Turkey this October. Find roles across top companies and apply now to boost your career.

1103 senior data scientist jobs IN Turkey

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Senior Data Scientist

Mid/Senior Data Scientist

Data Scientist / Senior Data Scientist

Senior Data Scientist (Generative AI)

Data Scientist

Advanced Analytics and Data Science - Senior Specialist