data scientist Jobs in Test Jobs In Istanbul

data scientist

data engineer Jobs in Test Jobs In Istanbul

data engineer

senior data scientist Jobs in Test Jobs In Istanbul

senior data scientist

clinical trials assistant (single sponsor) turkey Jobs in Test Jobs In Istanbul

clinical trials assistant (single sponsor) turkey

data analyst Jobs in Test Jobs In Istanbul

data analyst

data scientist turkey

Provenir

<div><div>Who We Are 
Provenir is a global fintech company with offices across North America, the UK, and Singapore. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you&rsquo;d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!</div>
<div></div><div>What You&rsquo;ll Do 
We are seeking a commercially-minded Data Scientist to join our global team, designing and delivering solutions that are deployed across our banking and financial services clients. You will work with a variety of data sources to create, validate, and optimize AI and Machine Learning models that drive measurable business outcomes. 
Your primary focus will be to serve as the Data Science business partner for Turkey, working closely with Sales, Professional Services, and customer stakeholders to understand their needs and deliver tailored solutions. You will ensure that models and insights are both technically robust and aligned with local market requirements, regulatory expectations, and business objectives.</div>
<div></div><div>In addition, you will have the opportunity to contribute to global projects as part of the wider Data Science team. This will include sharing best practices, collaborating on model development, and supporting initiatives in other markets when needed.</div>
<div></div><div>This is a remote role with approximately 20% travel is required to clients in Turkey, typically at critical points within the delivery, like project initiation and/or handover of the solution to the client.</div>
<div></div><div>Your Responsibilities</div>
<ul><li>Identify and source relevant data to build, calibrate and deploy state-of-the-art models using the latest AI/ML technologies and methods.</li>
<li>Understand the problems of our clients, designing appropriate Data Science solutions that meet their business requirements.</li>
<li>Partner with our Solutions Architects and Engineering teams to integrate ML and AI solutions within Provenir products.</li>
<li>While working in a fast-paced environment, interpret, document and successfully communicate solutions to stakeholders, including those in non-technical and senior management roles.</li>
<li>Provide expert input into future analytical strategies and product development</li>
<li>Contribute towards the commercial success and revenue generation</li>
<li>Provide technical guidance to the Sales, Pre-Sales and Professional Services on commercial Data Science opportunities across Turkey and the rest of the world.</li>
</ul>
<div> 
Your Strengths and Skills ️</div>
<ul><li>You have a minimum of 7 years experience in a data science role, including hands-on experience in developing supervised and unsupervised advanced machine learning algorithms.</li>
<li>You have strong data wrangling and manipulation skills for merging, cleansing, and sampling data</li>
<li>You have domain experience in Fraud, Credit Risk Management or Marketing analytics.</li>
<li>You have banking and/or Financial Services experience.</li>
<li>You actively participate in team meetings and can clearly and concisely articulate.</li>
<li>You will take initiative, learn quickly and are able to adapt to shifting priorities.</li>
</ul>
<div> 
Although not essential, it would be great if you also have any of these strengths,</div>
<ul><li>You have B2B client-facing experience, where you can talk confidently about data and AI.</li>
<li>You have good knowledge of data and banking regulations (e.g. BDDK, KVKK, etc)</li>
<li>You follow best practices across the MLOps lifecycle (e.g. CI/CD, pipeline orchestration and containerization).</li>
</ul>
<div> 
Interview Process</div>
<ul><li>The interview process would typically be structured as follows:
</li><li>Initial chat. This will be with a member of our recruitment team to get a better understanding of your current situation, what you are looking for and any questions you may have.</li>
<li>Technical Challenge. This is a take home task where you will solve a typical Data Science problem in your own time. It will give you an insight into the exciting problems we solve.</li>
<li>Technical Interview. This will be with two data scientists from the global team and primarily consist of technical questions.</li>
<li>Local Team Interview. This will be with Sales Executive and Solutions Architect based in Turkey, and cover mostly business and behavioural competencies.</li>
</ul>
<div> 
What You&rsquo;ll Love about Us 
Our employees are empowered to be curious, forward-thinking leaders. We ask them to explore the uncharted and invent the unimagined. That&rsquo;s what makes Provenir unique.
 
We offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly options, along with benefits to plan for your future.
</div><div> 
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.</div></div>

Data Scientist (Turkey)

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

Abdi Ibrahim Pharmaceuticals

<div>
 
 Abdi &Idot;brahim, founded in 1912, has the largest product portfolio in the sector and is the largest employer in the Turkish pharmaceutical industry with 5.500 employees. Abdi &Idot;brahim has been the leader of Turkey&rsquo;s pharmaceutical industry since 2002 with its powerful vision. Today, Abdi &Idot;brahim operates in 17 countries outside Turkey, exports to more than 70 countries ranging from Canada to European Union member states, from North Africa to Asia. As a corporate citizen working towards creating a better world and a better future, adhering to its mission in the sector and to the requirements of societal priorities, Abdi &Idot;brahim focuses on sustainability in all its business processes. Its vision for 2025 - apart from maintaining its status as a wholly local company - is to become "one of the top 100 pharmaceutical companies in the world.
 
 
 
 
 
 Abdi &Idot;brahim Pharmaceuticals - Data Scientist
 
 
 
 
 
 
 The requirements for the successful candidate are;
 
 
 <ul>
 <li>
 BSc or MSc degree in a quantitative field such as Computer Engineering, Industrial Engineering, Mathematics, Statistics or related disciplines
 </li>
 <li>
 At least 1 years of hands-on experience in Machine Learning, Data Mining, or Advanced Analytics for specialist
 </li>
 <li>
 At least 5 years of hands-on experience in Machine Learning, Data Mining, or Advanced Analytics for executive
 </li>
 <li>
 Strong theoretical and practical knowledge of Machine Learning algorithms (regression, classification, clustering, tree-based models, neural networks, etc.)
 </li>
 <li>
 Proven experience with data preprocessing, feature engineering, model training, model evaluation and optimization
 </li>
 <li>
 Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch is a plus)
 </li>
 <li>
 Solid experience with SQL and relational databases
 </li>
 <li>
 Familiarity with data visualization tools such as Power BI, Tableau, or equivalent
 </li>
 <li>
 Strong knowledge of statistical analysis and experimental design.
 </li>
 </ul>
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with time series forecasting, recommender systems, NLP or computer vision
 </li>
 <li>
 Experience with MLOps, model deployment and automation
 </li>
 <li>
 Experience in cloud environments (Azure, AWS, GCP)
 </li>
 <li>
 Knowledge of pharmaceutical industry
 </li>
 </ul>
 
 
 
 
 
 The key duties of the successful candidate are:
 
 
 <ul>
 <li>
 Develop, validate, and deploy machine learning and data mining models to solve real business problems
 </li>
 <li>
 Perform exploratory data analysis (EDA) and create advanced analytical insights from large datasets
 </li>
 <li>
 Design and implement feature engineering pipelines and model optimization strategies
 </li>
 <li>
 Work closely with business teams to translate business problems into analytical solutions
 </li>
 <li>
 Build predictive, classification and segmentation models
 </li>
 <li>
 Monitor model performance and continuously improve model accuracy
 </li>
 <li>
 Write efficient SQL queries to extract and prepare data from enterprise data sources
 </li>
 <li>
 Develop scalable analytics solutions using Python-based data science frameworks
 </li>
 <li>
 Document methodologies and communicate results clearly to both technical and non-technical stakeholders
 </li>
 <li>
 Contribute to the development of advanced analytics roadmap
 </li>
 </ul>
 
 
 
 
 Applicants with suitable qualifications are kindly invited to apply through LinkedIn. All applications will be acknowledged and treated confidentially.
 
 
 
</div>

Data Scientist (Executive/Specialist)

nsave

<div>
 
 
 🚀 Become nsave&rsquo;s Growth Lead, Turkey! 🚀
 
 
 
 
 At nsave, we&rsquo;re transforming financial inclusion and we&rsquo;re searching for a visionary leader to drive our growth in Turkey. As Growth Lead - Turkey, you&rsquo;ll design and execute strategies that put nsave at the forefront of the Turkish fintech revolution.
 
 
 
 Who You Are
 
 
 
 You are ambitious, data-driven, and passionate about empowering individuals through financial innovation. You understand Turkey&rsquo;s dynamic market, from digital-native consumers to emerging financial needs and you&rsquo;re ready to make an impact.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Define and execute a market-specific strategy to position nsave as a leading fintech brand in Turkey.
 </li>
 <li>
 Build and lead community engagement initiatives, fostering trust and advocacy among Turkish users.
 </li>
 <li>
 Establish strategic partnerships with local organizations, startups, and educational institutions.
 </li>
 <li>
 Drive user acquisition and retention through creative campaigns, paid media, and referral programs.
 </li>
 <li>
 Use data analytics and experimentation to refine growth funnels and improve user experience.
 </li>
 <li>
 Work closely with product and tech teams to localize features and enhance conversion.
 </li>
 <li>
 Analyze market trends, competitor movements, and customer feedback to guide strategic decisions.
 </li>
 <li>
 Report performance metrics and insights to leadership teams.
 
 
 </li>
 </ul>
 
 
 What You Bring:
 
 
 
 
 <ul>
 <li>
 3+ years in growth, marketing, or business development, ideally in fintech or startups.
 </li>
 <li>
 Expertise in digital growth tools like Google Analytics, Meta Ads Manager, and CRM platforms.
 </li>
 <li>
 Strong analytical and storytelling skills to turn data into action.
 </li>
 <li>
 Excellent communication in Turkish and English (Arabic is a plus).
 </li>
 <li>
 A flexible, entrepreneurial mindset with a focus on execution and impact.
 
 
 </li>
 </ul>
 
 Our Core Values
 
 
 
 <ul>
 <li>
 Pride in Impact: We take pride in the difference we make in people&rsquo;s lives.
 </li>
 <li>
 Compassionate Action: Thoughtful, proactive, and empathetic in everything we do.
 </li>
 <li>
 Problem Solving: Creativity, curiosity, and resilience define our approach to challenges.
 </li>
 <li>
 Inclusivity: We are committed to fostering an open-minded, non-discriminatory culture.
 
 
 </li>
 </ul>
 
 
 Why nsave?
 
 
 
 
 Backed by
 
 
 Sequoia Capital
 
 
 ,
 
 
 Y Combinator
 
 
 , and
 
 
 TQ Ventures
 
 
 , nsave is revolutionizing how people in volatile economies protect and grow their savings. In Turkey&rsquo;s fast-evolving financial landscape, you&rsquo;ll help us empower individuals to take control of their financial future.
 
 
 👉 Learn more: www.nsave.com
</div>

Growth Lead, Turkey

Watsons Turkey

<div>
 
 
 About Watsons
 
 
 
 
 
 
 Watsons Turkey is a part of AS Watson Group, the world's largest international health and beauty retailer, operating over 17,000 stores under 12 retail brands across 31 markets with more than 130,000 employees. As of the 2024 fiscal year, AS Watson Group recorded a revenue of 24 billion USD and serves over 6 billion customers annually through its O+O (Offline plus Online) platforms, offering a technology-enabled retail experience. As the leading O+O health and beauty retailer in Asia, Watsons operates 8,000 stores and over 1,500 pharmacies across 16 markets in Asia, Europe, and the Middle East.
 
 
 
 
 
 Watsons Turkey is one of the leading beauty and personal care retailers in Turkey, with more than 450 stores in 66 cities and over 3,500 employees. It aims to make a positive difference in customers&rsquo; lives through its products and services.
 
 
 
 
 
 Watsons is Asia&rsquo;s No.1 Personal Care and Beauty Retailer.*Based on the results of the "Top 50 Customer Experience Brands" survey conducted by Campaign Asia with 9,000 participants across six Asian countries.
 
 
 
 
 
 
 * The data you share is protected and processed within the scope of the Personal Data Protection Law No. 6698 ("KVKK"). For detailed information, you can visit https://www.watsons.com.tr/calisan-adayi-aydinlatma-metni.
 
 
 
 
 * 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu ("KVKK") kapsam&inodot;nda payla&scedil;m&inodot;&scedil; oldu&gbreve;unuz veriler korunmakta ve i&scedil;lenmektedir. Ayr&inodot;nt&inodot;l&inodot; bilgi i&ccedil;in https://www.watsons.com.tr/calisan-adayi-aydinlatma-metni adresini ziyaret edebilirsiniz.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 University degree in Business Administration, Marketing or related field
 </li>
 <li>
 10 years of proven experience in developing and implementing marketing strategies
 </li>
 <li>
 Good knowledge and experience with marketing strategy, media and project management
 </li>
 <li>
 Proven experience managing integrated marketing campaigns across digital, social, traditional, and emerging media channels.
 </li>
 <li>
 Creative/out of the box thinking
 </li>
 <li>
 Demonstrated success in developing and executing data-driven marketing strategies that drive growth, engagement, and ROI.
 </li>
 <li>
 Excellent command of English, both written and verbal
 </li>
 <li>
 Team player, dynamic, proactive, and critical thinker
 </li>
 </ul>
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Responsible for planning, developing, implementing, and managing the overall media strategy
 </li>
 <li>
 Managing and overseeing different marketing channels including stores
 </li>
 <li>
 Measuring ROI and KPIs
 </li>
 <li>
 Monitoring and evaluating online and ATL media campaigns
 </li>
 <li>
 Managing agency partner relationships; media agency, creative agency and Project based partnerships
 </li>
 <li>
 Leading Market Research with 3rd parties Using consumer insights
 </li>
 <li>
 Collaborate with related departments to realize the research projects
 </li>
 <li>
 Manage and attain budget objectives
 </li>
 <li>
 Development of customer marketing strategy based on insights and customer decision journey
 </li>
 </ul>
 
 
</div>

Marketing Strategy and Media Manager

Peak

<div>
 
 We are looking for a Data Scientist who is passionate about using data to solve challenging problems. As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to drive strategic decisions and develop innovative solutions. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders.
 
 
 
 
 
 If you are a motivated and data-driven individual with a passion for gaming, join our team to help our games thrive in an exciting global industry!
 
 
 
 
 
 
 Here's what you&rsquo;ll do
 
 
 
 
 
 <ul>
 <li>
 Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights
 </li>
 <li>
 Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines
 </li>
 <li>
 Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps
 </li>
 <li>
 Work closely with product teams to model, simulate, and help fine-tune the game&rsquo;s internal economy
 </li>
 <li>
 Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing teams to make data-informed decisions: dashboards, reports, ad-hoc analysis and insightful observations
 </li>
 <li>
 Collaborate with different teams to drive, implement and analyze A/B testing results
 </li>
 <li>
 Develop and maintain our player segmentation tool
 </li>
 <li>
 Build predictive models using machine learning algorithms
 </li>
 <li>
 Stay up-to-date with industry trends, best practices, and new tools and techniques in data analysis &amp; data science
 </li>
 <li>
 Work with our tech stack:
 
 (dbt (Python, SQL), Snowflake, Looker, Hex, Streamlit, Airflow)
 
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experiences
 
 
 
 
 
 <ul>
 <li>
 University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
 </li>
 <li>
 Minimum of 1 year of hands-on data science experience in a tech companies
 </li>
 <li>
 Strong knowledge of SQL and Python; excited to learn new languages when needed
 </li>
 <li>
 Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus
 </li>
 <li>
 Passion for mobile casual games
 </li>
 <li>
 Excellent attention to detail, natural curiosity and ability for creative problem-solving
 </li>
 <li>
 Strong written and oral communication skills
 </li>
 <li>
 Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Areas in which you'll continue to grow
 
 
 
 
 
 <ul>
 <li>
 Proficiency in extracting, processing and modeling huge amounts of data
 </li>
 <li>
 Working with one of the richest and largest datasets of the technology industry
 </li>
 <li>
 Proficiency in data analytics, data science and visualization tools
 </li>
 <li>
 Ability to initiate, support and improve product &amp; marketing decisions thanks to the evolving role of data in a fully data-driven environment
 </li>
 </ul>
</div>

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

Explore 990+ Data scientist turkey in Test Jobs In Istanbul this December. Find roles across top companies and apply now to boost your career.