data & ai solutions specialist Jobs in Istanbul Turkey

data & ai solutions specialist

data analyst

data engineer

data scientist

crm & data analytics manager Jobs in Istanbul Turkey

crm & data analytics manager

data analytics specialist

Crystal Intelligence

<div>Crystal is a globally distributed team of world-class blockchain analysts, award-winning mathematicians, and professional software developers with headquarters in London and Amsterdam. We design an all-in-one blockchain analytics solution for regulators, financial services, and law enforcement.
We are currently looking for a Data Analytics Intern to join our product development team, focusing on stablecoin insights and market intelligence.
As a Data Analytics Intern, you'll dive into the fascinating world of stablecoin and blockchain data analysis. You'll work closely with our product and marketing teams to uncover insights, identify trends, and help communicate what's happening in the stablecoin ecosystem. If you're passionate about cryptocurrency, love working with data, and want to build practical skills in blockchain analytics, this internship is the perfect starting point.
Duties &amp; Responsibilities:<ul>
<li>Analyze stablecoin and blockchain data to identify trends, patterns, and notable market movements.</li>
<li>Support the marketing team in creating data-driven reports and updates about the stablecoin landscape.</li>
<li>Build and maintain queries and dashboards using analytics platforms such as Dune Analytics.</li>
<li>Conduct research on stablecoin protocols, usage patterns, and emerging developments.</li>
<li>Collaborate with the product team to surface insights that inform product development.</li>
<li>Assist in creating compelling data visualizations and presentations for internal and external audiences.</li>
<li>Monitor on-chain metrics and highlight significant changes or anomalies.</li>
<li>Engage in ongoing training and development activities to deepen blockchain analytics expertise.</li>
</ul>
Requirements:<ul>
<li>
Currently enrolled in or recently completed a degree program related to Data Science, Computer Science, Economics, Finance, or a relevant field.</li>
<li>Genuine enthusiasm for cryptocurrency, blockchains, and the stablecoin ecosystem.</li>
<li>Beginner-level or higher SQL and/or Python skills for data analysis.</li>
<li>Experience using dashboarding tools such as Dune Analytics, Hex, or Tableau</li>
<li>Strong analytical mindset with attention to detail.</li>
<li>Excellent written communication skills for translating data insights into clear narratives.</li>
<li>Eagerness to learn and a proactive attitude toward tasks and challenges.</li>
<li>Adaptability and a willingness to take on new responsibilities in a fast-paced environment.</li>
<li>Commitment to the internship duration and interest in pursuing a career in blockchain analytics.</li>
</ul>
Strongly Preferred:<ul>
<li>
Active user of Dune Analytics with a portfolio of queries and dashboards you've built (not just viewed).</li>
<li>Prior experience analyzing blockchain or cryptocurrency data.</li>
<li>Familiarity with stablecoin protocols and DeFi ecosystems.</li>
<li>Understanding of on-chain metrics and blockchain data structures.</li></ul></div>

Data Analytics Intern - Stablecoin Insights (Remote)

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
 
 
 
 A data analyst defines success metrics and provides analytical solutions for complex product-related questions such as behavioral segmentation, feature usage, UX performance, and funnel analysis. They build and maintain dashboards, develop data models to track product performance, and conduct A/B test analyses to drive KPI improvements. Their role also includes translating data into actionable insights, supporting product teams with ad-hoc analyses, and aligning reporting efforts with company strategy.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Partner with cross-functional teams to define success metrics and deliver analytical solutions for complex product tasks (page performance, funnel health, check, behavioral segmentation, feature interaction, UX measurement, etc.)
 </li>
 <li>
 Create data models for A/B tests and analyze A/B tests to drive KPI improvements.
 </li>
 <li>
 Refine data translation processes and provide regular analysis on product OKRs
 </li>
 <li>
 Design and build internal analytics dashboards to track, quantify, and evaluate platform data.
 </li>
 <li>
 Comprehend the bigger picture as well as small details with a sense of analytical thinking.
 </li>
 <li>
 Enable effective decision-making by retrieving and aggregating data from multiple sources and compiling it into a simplified and actionable format.
 </li>
 <li>
 You will help to spread the product mindset to all stakeholders and colleagues.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 University degree preferably in Engineering, MIS, Management, Statistics.
 </li>
 <li>
 Minimum 1-year experience in data analytics, business intelligence or a similar role.
 </li>
 <li>
 Showing a data-centric mindset by establishing product metrics and making data-driven decisions.
 </li>
 <li>
 Fluent in data analysis, including defining KPI strategy and growth opportunities, time series analysis, data visualization.
 </li>
 <li>
 Strong knowledge of SQL or other query language experience combined with good mathematical and statistics foundations.
 </li>
 <li>
 Experience with Python/R is a plus.
 </li>
 <li>
 Experience working with Looker, Tableau, BI, and Data Studio or similar data visualization tools.
 </li>
 <li>
 A growth mindset with a self-starter attitude.
 </li>
 <li>
 Strong communication skills and an ability to break down complex information into relevant and digestible points.
 </li>
 <li>
 Excited to work with different functions within the company, creative problem solver who thrives with ambiguity.
 </li>
 <li>
 Develop custom data models and algorithms to apply to data sets.
 </li>
 <li>
 Excellent written and verbal communication skills in English.
 </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>

Data Analyst (Product Analytics)

Armut Teknoloji AS

<div>Armut / Homerun is a leading local services marketplace with over 2 million professionals across over 26,000 services. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 18 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth and increasing the number of operating countries in the EMEA region. 
 
Our strength is rooted in our core values: customer-first thinking, data-driven problem-solving, and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers. 
 
Join us on our journey to be the EMEA leader in the local services marketplace! 
 
You Will: 
<ul><li>Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>Extract, manipulate, and analyze large datasets (structured, semi-structured, and unstructured) to uncover insights and drive operational improvements.</li><li>Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>Create clear, actionable dashboards and reports using BI tools to communicate insights to stakeholders.</li><li>Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul> 

You Are: 
<ul><li>Holding a Bachelor's / Master's degree from a top school with a study in Engineering, Economics or Business departments.</li><li>Experienced in related fields minimum 4 years.</li><li>Highly skilled in SQL and Python scripting, with a strong command of data manipulation and transformation techniques.</li><li>Proficient with business intelligence tools and data visualization, translating complex analyses into clear narratives.</li><li>Comfortable working with diverse data types&mdash;structured, semi-structured, and unstructured&mdash;and choosing the right approach for each.</li><li>Grounded in statistics, with experience in hypothesis testing, regression models, and understanding of key data distributions.</li><li>Experienced in natural language processing (NLP) and text analytics, with a strong understanding of their applications in business contexts.</li><li>Proficient in developing and applying machine learning models for prediction and automation.</li><li>Familiar with modern AI trends, particularly large language models (LLMs) and their integration into real-world applications (e.g., RAG workflows, LLM-based tools).</li><li>A strategic thinker with a builder&rsquo;s mindset&mdash;passionate about using technology to solve complex category challenges.</li></ul> 

Our Hiring Process<ul><li>
Application: Send us your CV.</li><li>
Interview: Discuss your experience &amp; expectations.</li><li>
Case Study: Showcase your skills.</li><li>
Final Interview: Align on mutual goals and values.</li><li>
Welcome Aboard: Join the Homerun team!</li></ul> 
Diversity and Inclusion at Homerun 
We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.
F4i3AhWe9n</div>

Data & AI Solutions Specialist

Armut

<div>Armut / Homerun is a leading local services marketplace with over 2 million professionals across over 26,000 services. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 18 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth and increasing the number of operating countries in the EMEA region. 
 
Our strength is rooted in our core values: customer-first thinking, data-driven problem-solving, and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers. 
 
Join us on our journey to be the EMEA leader in the local services marketplace! 
 
You Will: 
<ul><li>Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>Extract, manipulate, and analyze large datasets (structured, semi-structured, and unstructured) to uncover insights and drive operational improvements.</li><li>Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>Create clear, actionable dashboards and reports using BI tools to communicate insights to stakeholders.</li><li>Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul> 

You Are: 
<ul><li>Holding a Bachelor's / Master's degree from a top school with a study in Engineering, Economics or Business departments.</li><li>Experienced in related fields minimum 4 years.</li><li>Highly skilled in SQL and Python scripting, with a strong command of data manipulation and transformation techniques.</li><li>Proficient with business intelligence tools and data visualization, translating complex analyses into clear narratives.</li><li>Comfortable working with diverse data types&mdash;structured, semi-structured, and unstructured&mdash;and choosing the right approach for each.</li><li>Grounded in statistics, with experience in hypothesis testing, regression models, and understanding of key data distributions.</li><li>Experienced in natural language processing (NLP) and text analytics, with a strong understanding of their applications in business contexts.</li><li>Proficient in developing and applying machine learning models for prediction and automation.</li><li>Familiar with modern AI trends, particularly large language models (LLMs) and their integration into real-world applications (e.g., RAG workflows, LLM-based tools).</li><li>A strategic thinker with a builder&rsquo;s mindset&mdash;passionate about using technology to solve complex category challenges.</li></ul> 

Our Hiring Process<ul><li>
Application: Send us your CV.</li><li>
Interview: Discuss your experience &amp; expectations.</li><li>
Case Study: Showcase your skills.</li><li>
Final Interview: Align on mutual goals and values.</li><li>
Welcome Aboard: Join the Homerun team!</li></ul> 
Diversity and Inclusion at Homerun 
We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.</div>

Allianz

<div>
 
 How can you make an impact?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Mathematics, Statistics, or related fields
 </li>
 <li>
 Minimum 2 years of experience in Customer Data Analytics, Business Intelligence, Reporting, Data Modeling, and ETL solutions/projects
 </li>
 <li>
 Proficient in relational database concepts and languages such as SQL, TSQL, PL/SQL
 </li>
 <li>
 Experience or knowledge in Big Data and Open Source technologies is a plus
 </li>
 <li>
 Strong analytical mindset with the ability to tackle ambiguous problems, identify relevant data, make assumptions, and deliver actionable insights
 </li>
 <li>
 Skilled in defining KPI strategies, growth opportunities, time series analysis, and data visualization
 </li>
 <li>
 Experience with persona analysis and customer journey mapping methodologies
 </li>
 <li>
 Proficient in at least one data modeling or analytics tool such as SAS, KNIME,PBI, Python, or R
 </li>
 <li>
 Solid command of Microsoft Office applications
 </li>
 <li>
 Excellent verbal and written communication skills, able to present data-driven information clearly and professionally
 </li>
 <li>
 Proven ability to collaborate effectively with cross-functional teams and stakeholders
 </li>
 <li>
 Self-motivated, proactive, with a creative and problem-solving approach, open to innovation and continuous learning
 </li>
 <li>
 Fluent in English
 
 
 </li>
 </ul>
 
 What do we expect you to bring?
 
 
 
 <ul>
 <li>
 Act as an Analytics Translator by converting complex data into actionable insights accessible to all stakeholders
 </li>
 <li>
 Collaborate with cross-functional teams to define success metrics, track and quantify data, and develop a shared understanding of KPIs
 </li>
 <li>
 Provide ad-hoc analysis and build automated dashboards to offer clear visibility into business performance
 </li>
 <li>
 Develop deep analytical insights into the drivers of product growth and identify areas for improvement
 </li>
 <li>
 Lead the design, implementation, and optimization of loyalty programs, analyzing user behavior through customer segmentation, RFM, and cohort analyses
 </li>
 <li>
 Monitor loyalty campaign performance, design A/B tests, and generate valuable insights for continuous improvement
 </li>
 <li>
 Prepare regular dashboards and reports using data visualization tools for various business units
 </li>
 <li>
 Build predictive models such as churn analysis, CLV estimation, and user lifecycle forecasting
 </li>
 <li>
 Partner closely with CX and Marketing teams to create personalized, data-driven campaigns
 </li>
 <li>
 Aggregate data from multiple sources to create comprehensive dashboards and presentations
 </li>
 <li>
 Use customer insights and analytics to propose and implement strategic improvements
 </li>
 <li>
 Analyze customer feedback, identify key trends and outliers, and derive actionable insights to enhance customer experience
 </li>
 <li>
 Recommend data-driven changes to support strategic decision making and business growth
 </li>
 <li>
 Stay updated on the latest technology trends and contribute to AI projects using Python and R
 </li>
 <li>
 Support the development of communication strategies focused on acquiring new customers and retaining existing ones
 </li>
 <li>
 Conduct market and sales forecasting studies and prepare detailed forecast analyses
 
 
 </li>
 </ul>
 
 What we will offer you?
 
 
 
 
 Company
 
 
 
 <ul>
 <li>
 Working in Green certificated &amp; pet friendly Allianz Tower / Allianz Kamp&uuml;s with modern work spaces, gym &amp; social areas.
 </li>
 <li>
 Working in agile, flexible, digital and social culture
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 Working 40 hours a week
 </li>
 <li>
 Hybrid working
 </li>
 <li>
 Flex summer (July &ndash; August)
 </li>
 <li>
 Part time working
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Yearly bonus
 </li>
 <li>
 Home expense payment
 </li>
 <li>
 Home office payment (monthly)
 </li>
 <li>
 Transportation
 </li>
 <li>
 Life insurance
 </li>
 <li>
 Employer sponsored pension &amp; Family included health insurance
 </li>
 <li>
 Special Allowances (Marriage, newborn etc.)
 </li>
 <li>
 Meal Allowance (Card/monthly)
 
 
 </li>
 </ul>
 
 Leave Rights
 
 
 
 <ul>
 <li>
 School Report Day (Half Day) &amp; First Day of school (Half Day)
 </li>
 <li>
 Allianz day off
 </li>
 <li>
 Birthday day off
 </li>
 <li>
 Paternity Leave &ndash; 10 days
 </li>
 <li>
 Marriage Leave &ndash; 5 days
 </li>
 <li>
 After 4 years of work, having extra one day annual leave each year (up to 26 days)
 
 
 </li>
 </ul>
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Join us.
 
 Let's care for tomorrow.
 
 
 
 And there is much more!
 
 
 
 Do the items above define you? Do you believe you can passionately and successfully carry out the tasks involved in the job description, that is the perfect match for you? Then, come and apply for the
 
 &ldquo;Customer Experience Data Scientist - P&amp;C Retail Insurance Member&rdquo;
 
 position.
 
 
 While you await news from us, we would like to share a playlist with you to help you enjoy your time.
 
 
 https://open.spotify.com/playlist/1Zx2if289cAz4WClmUvsL5?si=b48f678f66424584
</div>

Customer Experience Data Scientist - P&C Retail Insurance Member

Scorp

<div>
 
 
 **Only full-time position is available.**
 
 
 
 
 
 
 
 **USD indexed salary.**
 
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 Throughout last year, Scorp Inc. has made a big leap and reached over 100 million users with over 10 mobile products! We continue to grow and develop new social apps. As our userbase grows, there comes the challenge of scaling. With this challenge, we've recently started the search for amazing people to extend our team. We're looking for engineers who are excited about the challenge of building and scaling systems that serve information 24/7 for MILLIONS of daily active users worldwide.
 
 
 
 
 
 We present you the opportunity to become a part of our talented team and have direct access to work on large-scale systems that reach millions of people, daily. If you enjoy dealing with large-scale problems, ambitious to solve challenging problems and want your work to reach a massive global audience, you are an ideal candidate for our team.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science, or Mathematics
 </li>
 <li>
 At least 2 years of experience as a Data Scientist or Data Analyst
 </li>
 <li>
 Strong knowledge of SQL
 </li>
 <li>
 Strong knowledge of Python and commonly used data science , statistics, and visualization libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Seaborn)
 </li>
 <li>
 Experience with cloud platforms such as AWS, or Google Cloud is a plus
 </li>
 <li>
 Experience with BigQuery is a plus
 </li>
 <li>
 Experience with Looker is a plus
 </li>
 <li>
 Experience working with mobile app data is a plus
 </li>
 <li>
 Strong team player with a results-oriented mindset and an analytical approach
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Create complex analytical SQL queries
 </li>
 <li>
 Work with the management and product teams to extract, interpret, and present insights from data to support their decisions
 </li>
 <li>
 Design A/B tests and interpret the findings
 </li>
 <li>
 Develop custom quantitative analyses, models and ad-hoc reports to support decision-making
 </li>
 <li>
 Build predictive models to optimize user experience
 </li>
 <li>
 Monitor and analyze model performance and accuracy
 </li>
 <li>
 Collaborate with business and engineering teams
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Scorp Inc.?
 
 
 
 
 
 
 🚀
 
 Join Our Team, Enjoy the Perks!
 
 🌟
 
 
 We&rsquo;re not just a company&mdash;we&rsquo;re a community that values growth and happiness! Here&rsquo;s what you can look forward to when you join us:
 
 
 
 
 
 💰
 
 USD-Indexed Salary
 
 
 
 🌎
 
 Being a Part of a Hyper-Growth Global Startup
 
 &ndash; Build the future with a dynamic team!
 
 
 🚀
 
 Endless Self-Improvement Opportunities for Managing High-Scale Problems
 
 &ndash; We&rsquo;re building large-scale systems that used by millions! Keep learning and evolving!
 
 
 🌍
 
 Multicultural Work Environment
 
 &ndash; Be inspired by diverse perspectives!
 
 
 🌟
 
 Contribute to Innovative Local &amp; Global Projects
 
 &ndash; Grow both personally and professionally while making an impact!
 
 
 🧘 &male;️
 
 Meditopia: PT, Dietitian &amp; Therapy Support
 
 &ndash; Take care of both body and mind!
 
 
 🎯
 
 Seamless Onboarding Process with a Scorpion Buddy:
 
 A Warm Welcome &amp; Smooth Transition!
 
 
 🎉
 
 Social clubs, celebrations, and events to help you balance work and fun.
 
 
 
 
 
 
 Join us and grow together! 💼🚀
 
 
 
 
 
 
 LinkedIN &uuml;zerinden elektronik olarak iletece&gbreve;iniz ki&scedil;isel bilgileriniz, 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu ve ilgili mevzuat &ccedil;er&ccedil;evesinde, Scorp taraf&inodot;ndan yaln&inodot;zca &Scedil;irketimizden talep etti&gbreve;iniz hizmetlerin sunulabilmesi ve bu hizmetlerin s&uuml;reklili&gbreve;inin sa&gbreve;lanmas&inodot; ama&ccedil;lar&inodot;yla saklanabilecek, i&scedil;lenebilecek ve verilen servisin gerektirdi&gbreve;i hallerde yurti&ccedil;inde ve yurtd&inodot;&scedil;&inodot;nda yerle&scedil;ik 3. ki&scedil;ilerle payla&scedil;&inodot;labilecek olup, ki&scedil;isel verileriniz hi&ccedil;bir &scedil;ekilde hukuka ve d&uuml;r&uuml;stl&uuml;k kural&inodot;na ayk&inodot;r&inodot; &scedil;ekilde ba&scedil;kalar&inodot; ile payla&scedil;&inodot;lmayacak ve i&scedil;leme sebebi d&inodot;&scedil;&inodot;nda ba&scedil;ka ama&ccedil;larla kullan&inodot;lmayacakt&inodot;r. Ki&scedil;isel verileriniz yaln&inodot;zca i&scedil;leme amac&inodot;n&inodot;n gerekli k&inodot;ld&inodot;&gbreve;&inodot; s&uuml;re boyunca saklanacak olup talebiniz &uuml;zerine silinecek veya imha edilecektir. Bu i&scedil;e ba&scedil;vurarak, &ouml;zge&ccedil;mi&scedil;inizin veri taban&inodot;m&inodot;zda yer almas&inodot;n&inodot; kabul etmi&scedil; oldu&gbreve;unuzu bildirmek isteriz.
 
 
</div>

Data Analyst

Garanti BBVA

<div>
 
 
 Sen de yeteneklerinle parlayabilece&gbreve;in, teknolojide &ouml;nc&uuml; ve &ccedil;a&gbreve;&inodot;n olanaklar&inodot;n&inodot; herkese sunmay&inodot; hedefleyen bir ekibin par&ccedil;as&inodot; olmak istersen hemen aram&inodot;za kat&inodot;l!
 
 
 
 
 
 
 
 Garanti BBVA&rsquo; da seni neler bekliyor?
 
 
 
 
 
 <ul>
 <li>
 Global bir grubun par&ccedil;as&inodot; olma,
 </li>
 <li>
 Garanti BBVA ortak de&gbreve;erleri etraf&inodot;nda birle&scedil;en en iyi tak&inodot;mla &ccedil;al&inodot;&scedil;ma f&inodot;rsat&inodot;,
 </li>
 <li>
 &Idot;lham veren liderler e&scedil;li&gbreve;inde potansiyelini ger&ccedil;ekle&scedil;tirebilece&gbreve;in destekleyici ve geli&scedil;tirici i&scedil; ortam&inodot;,
 </li>
 <li>
 BBVA grubumuzun lokal ve global kariyer f&inodot;rsatlar&inodot;,
 </li>
 <li>
 Sana &ouml;zel geli&scedil;im plan&inodot; ve bu plan&inodot; destekleyecek s&inodot;n&inodot;rs&inodot;z e&gbreve;itim &amp; geli&scedil;im f&inodot;rsatlar&inodot;,
 </li>
 <li>
 Hibrit &ccedil;al&inodot;&scedil;ma modeli,
 </li>
 <li>
 &Idot;Y&Idot; Bak Kendine Wellbeing Program&inodot; ve 20&rsquo;den fazla hobi kul&uuml;b&uuml; ve spor tak&inodot;m&inodot;,
 </li>
 <li>
 Kurumsal g&ouml;n&uuml;ll&uuml;l&uuml;k programlar&inodot;,
 </li>
 <li>
 &Idot;ngilizce ve &Idot;spanyolcan&inodot; geli&scedil;tirebilece&gbreve;in &uuml;cretsiz yabanc&inodot; dil platformu,
 </li>
 <li>
 &Ouml;zel sa&gbreve;l&inodot;k ve hayat sigortas&inodot;,
 </li>
 <li>
 Do&gbreve;um g&uuml;n&uuml; izni ve daha fazlas&inodot; seni bekliyor.
 </li>
 </ul>
 
 
 
 
 
 Risk Y&ouml;netimi Ba&scedil;kanl&inodot;&gbreve;&inodot; ne yapar diye merak ediyorsan;
 
 
 
 
 
 
 Konsolide ve konsolide olmayan bazda maruz kal&inodot;nan risklerin bir arada &ouml;l&ccedil;&uuml;ld&uuml;&gbreve;&uuml;, risklerin y&ouml;netim kurulunca onaylanan risk i&scedil;tah&inodot; ile ba&gbreve;lant&inodot;l&inodot; olarak belirlenen limitler dahilinde kal&inodot;nmas&inodot;n&inodot;n sa&gbreve;land&inodot;&gbreve;&inodot;, mevzuat, banka politikalar&inodot; ile uyumlu ve risk-getiri ili&scedil;kisini g&ouml;zeten bir risk y&ouml;netimi sisteminin tesisi ve s&uuml;rd&uuml;r&uuml;lmesi ile bu sisteme dayal&inodot; olarak sermaye ve likidite yeterlili&gbreve;inin sa&gbreve;lanmas&inodot; i&ccedil;in gerekli &ccedil;al&inodot;&scedil;malar&inodot;n koordine edilmesinden sorumludur.
 
 
 
 
 
 
 Data Scientist Validasyon ekibi nelerden sorumludur?
 
 
 
 
 
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 Veri bilimci d&ouml;n&uuml;&scedil;&uuml;m s&uuml;recinin Risk ailesi i&ccedil;indeki uygulamalar&inodot; kapsam&inodot;nda gereklilikleri ve standartlar&inodot; belirlemek, uygulamak ve y&ouml;netmek,
 </li>
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 Banka risk t&uuml;rlerinin say&inodot;salla&scedil;t&inodot;r&inodot;lmas&inodot;na ve de&gbreve;erlendirilmesine y&ouml;nelik tasarlanan analitik risk model ve risk parametrelerinin validasyonunu ger&ccedil;ekle&scedil;tirmek, tespit edilen geli&scedil;im alanlar&inodot;n&inodot; ve nihai validasyon g&ouml;r&uuml;&scedil;&uuml;n&uuml; raporlamak,
 </li>
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 Model riskini minimize etmek amac&inodot;yla, model y&ouml;netim politika ve model geli&scedil;tirim kural setlerini takip etmek, validasyon kural setini takip etmek ve g&uuml;ncel tutmak,
 </li>
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 Geli&scedil;tirilen yeni modellerin veya mevcut modellerde yap&inodot;lan de&gbreve;i&scedil;ikliklerin kontrol ve istatistiksel testlerini ger&ccedil;ekle&scedil;tirmek; model ve modele konu veri ile s&uuml;re&ccedil;lerin validasyonu i&ccedil;in gerekli olan bilgileri toplamak, dok&uuml;mantasyon i&ccedil;eriklerini incelemek, analiz etmek ve de&gbreve;erlendirmek,
 </li>
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 Geli&scedil;tirilen risk modelleri ve parametrelerinin BDDK tebli&gbreve; ve rehberlerine, model geli&scedil;tirim dok&uuml;manlar&inodot;na uyumunu kontrol etmek,
 </li>
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 Validasyon sonu&ccedil;lar&inodot; hakk&inodot;nda raporlama yapmak ve ilgili komite ve &uuml;st y&ouml;netimi validasyon faaliyetleri hakk&inodot;nda bilgilendirmek,
 </li>
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 Tespit edilen geli&scedil;im alanlar&inodot;n&inodot;n periyodik takibini yapmaktan sorumludur.
 </li>
 </ul>
 
 
 
 
 
 Bu Ekibe Nas&inodot;l Birini Ar&inodot;yoruz?
 
 
 
 
 
 
 Birlikte yeni fikirler &uuml;retece&gbreve;imiz, ba&scedil;ar&inodot;dan ba&scedil;ar&inodot;ya ko&scedil;aca&gbreve;&inodot;m&inodot;z bir &ccedil;al&inodot;&scedil;ma arkada&scedil;&inodot; ar&inodot;yoruz.
 
 
 
 Sen de;
 
 
 
 
 
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 Etkili ileti&scedil;im benden sorulur diyorsan,
 </li>
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 M&uuml;&scedil;teri memnuniyetinin her &scedil;eyden &ouml;nce geldi&gbreve;ine inan&inodot;yorsan,
 </li>
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 &Idot;&scedil; birlik&ccedil;i ve &ccedil;e&scedil;itlili&gbreve;i y&uuml;ksek ortamlarda &ccedil;al&inodot;&scedil;maktan keyif al&inodot;yorsan,
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 &ldquo;Bu i&scedil; benden sorulur&rdquo; diyor ve sorumluluk almaktan motive oluyorsan,
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 &ldquo;Problemler &ccedil;&ouml;z&uuml;lmek i&ccedil;in vard&inodot;r&rdquo; diyerek etkin &ccedil;&ouml;z&uuml;mler &uuml;retmeye haz&inodot;rsan,
 </li>
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 Yapt&inodot;&gbreve;&inodot;n i&scedil;i ve kendini s&uuml;rekli geli&scedil;tirmeye ve yeni fikirler &uuml;retmeye hevesliysen
 </li>
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 Geli&scedil;ime a&ccedil;&inodot;k ve ileri seviyede analitik d&uuml;&scedil;&uuml;nme ve yorumlama becerisine sahipsen.
 </li>
 </ul>
 
 
 
 
 
 Bu g&ouml;rev i&ccedil;in &ldquo;olmazsa olmazlar&inodot;m&inodot;z&rdquo; da var. E&gbreve;er;
 
 
 
 
 
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 &Uuml;niversitelerin Lisans/Y&uuml;kseklisans b&ouml;l&uuml;mlerinden mezunsan,
 </li>
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 Python programlama bilgisine sahipsen,
 </li>
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 Risk y&ouml;netimi konular&inodot;nda tecr&uuml;beliysen,
 </li>
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 B&uuml;y&uuml;k veri k&uuml;meleriyle uygulamal&inodot; &ccedil;al&inodot;&scedil;ma deneyimine sahip ve veri bilimi alan&inodot; entelekt&uuml;el ilgi alan&inodot;n ise,
 </li>
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 Yaz&inodot;l&inodot; ve s&ouml;zl&uuml; olarak &Idot;ngilizce&rsquo;yi aktif olarak kullanabiliyorsan,
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ve tercihen;
 
 
 
 
 
 <ul>
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 &Uuml;niversitelerin M&uuml;hendislik, Matematik, &Idot;statistik, Ekonomi b&ouml;l&uuml;mlerinden mezunsan,
 </li>
 </ul>
 
 
 
 
 Kariyer f&inodot;rsat&inodot;m&inodot;za hemen ba&scedil;vur, Garanti BBVA&rsquo;n&inodot;n f&inodot;rsatlarla dolu d&uuml;nyas&inodot;nda bulu&scedil;al&inodot;m. #YeteneklerinParlad&inodot;&gbreve;&inodot;YereDavetlisin💙
 
 
 
 
 
 
 Hakk&inodot;m&inodot;zda
 
 
 
 
 
 
 BBVA olarak, &ccedil;a&gbreve;&inodot;n olanaklar&inodot;n&inodot; herkese sunmak amac&inodot;yla d&uuml;nya bankac&inodot;l&inodot;&gbreve;&inodot;n&inodot;n d&ouml;n&uuml;&scedil;&uuml;m&uuml;ne &ouml;nc&uuml;l&uuml;k ediyoruz. 35 &uuml;lkede, 72 milyondan fazla m&uuml;&scedil;terisi olan k&uuml;resel bir finans kurulu&scedil;uyuz. D&uuml;nyada 125.000'den fazla &ccedil;al&inodot;&scedil;an&inodot; bulunan ve her birinin kendi profesyonel kariyerinin kahraman&inodot; ve tasar&inodot;mc&inodot;s&inodot; oldu&gbreve;u bir bankay&inodot;z. Kurumsal sorumluluk yakla&scedil;&inodot;m&inodot;m&inodot;z ve i&scedil; modelimiz ile &ccedil;e&scedil;itlili&gbreve;i ve finansal e&gbreve;itimi ve k&uuml;lt&uuml;r&uuml; destekliyoruz. BBVA'n&inodot;n bir par&ccedil;as&inodot; olmak, kariyerinizi finans sekt&ouml;r&uuml;ndeki en yenilik&ccedil;i &scedil;irketlerden birinde geli&scedil;tirmek demektir.
 
 
 
 
 
 
 De&gbreve;erlerimiz
 
 
 
 
 
 
 De&gbreve;erlerimiz t&uuml;m &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot; tan&inodot;mlar, amac&inodot;m&inodot;z&inodot; ger&ccedil;ekle&scedil;tirmemize ve t&uuml;m i&scedil;lerimizi ve kararlar&inodot;m&inodot;z&inodot; y&ouml;nlendirmemize yard&inodot;mc&inodot; olur: M&uuml;&scedil;terimiz &ouml;nceli&gbreve;imizdir, b&uuml;y&uuml;k d&uuml;&scedil;&uuml;n&uuml;r&uuml;z, tek bir ekibiz.
 
 
 
 
 
 
 &Ccedil;e&scedil;itlilik yakla&scedil;&inodot;m&inodot;m&inodot;z
 
 
 
 
 
 
 Garanti BBVA olarak farkl&inodot; bak&inodot;&scedil; a&ccedil;&inodot;lar&inodot;na sahip &ccedil;al&inodot;&scedil;ma arkada&scedil;lar&inodot;yla geli&scedil;ece&gbreve;imize, daha iyi bir &ccedil;al&inodot;&scedil;ma ortam&inodot;na ula&scedil;aca&gbreve;&inodot;m&inodot;za inan&inodot;yoruz. E&scedil;it istihdam sa&gbreve;lamay&inodot; g&ouml;rev edinen bir kurum olarak &ccedil;e&scedil;itlili&gbreve;i destekliyoruz. &Ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n mesleki ve ki&scedil;isel geli&scedil;imine f&inodot;rsat sunan, kendilerini en iyi &scedil;ekilde g&ouml;stermelerini sa&gbreve;layan, geli&scedil;imlerine odaklanan i&scedil;birlik&ccedil;i ve kapsay&inodot;c&inodot; bir &ccedil;al&inodot;&scedil;ma ortam&inodot; yaratmak i&ccedil;in yeni ad&inodot;mlar atmaya devam ediyoruz.
 
 
 
</div>

Data Scientist Validasyon Yetkilisi - Uzmanı - Yönetmeni

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