data scientist

software engineer

data analyst

senior data scientist

data engineer

big data engineer

Creatives Data

<div>
 
 We are seeking an experienced senior professional to lead data collection and analysis for marketing campaigns across multiple industry sectors. In this role, you will harness
 
 AI tools and advanced statistical methods
 
 to turn large, complex datasets into actionable insights that drive marketing strategy. You will build and analyze big data pools from various sources, develop predictive models, and present data-driven narratives that inform decision-making.The ideal candidate thrives at the intersection of data and storytelling, collaborating with cross-functional teams to optimize campaigns and support business goals with evidence-based insights.
 
 
 
 
 
 Job Description
 
 
 
 
 
 As a
 
 Marketing Data Scientist / Big Data Analyst
 
 , you will play a pivotal role in our agency by managing end-to-end data initiatives for marketing campaigns in diverse sectors. This includes developing methods to
 
 collect and aggregate large datasets from numerous digital sources
 
 , then cleaning and processing that data to uncover meaningful patterns
 
 
 &nbsp;
 
 
 You will transform raw data into clear
 
 graphs, statistical reports, and insightful visualizations
 
 that aid in decision-making Using AI-driven analytics and machine learning models, you will generate predictive insights and optimization recommendations to improve campaign performance. Your work will directly influence marketing tactics such as lead generation strategies, business planning, and branding efforts by providing deep analytical reports and forecasts. In collaboration with marketing teams, you&rsquo;ll help set targets and KPIs, ensuring that data-driven insights are integrated into strategic planning. Ultimately, you will be responsible for leveraging cutting-edge analytics to
 
 drive marketing strategies and enhance campaign effectiveness
 
 across the organization
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Develop and implement robust data collection methods to gather
 
 large-scale data
 
 from relevant industries and digital platforms. Build and maintain big data repositories combining sources like web analytics, CRM systems, social media, and more ensure data quality through cleaning and validation processes for accurate analysis.
 </li>
 <li>
 
 Data Processing &amp; Visualization:
 
 Utilize tools such as
 
 Python
 
 (pandas, NumPy) and
 
 Excel
 
 to process and analyze the collected data. Generate clear visualizations (charts, graphs) and performance reports to communicate key metrics and trends regularly prepare
 
 monthly/quarterly KPI reports
 
 using software like Excel and Power BI, translating complex datasets into easily understandable dashboards.
 </li>
 <li>
 
 Advanced Analytics &amp; AI Integration:
 
 Leverage artificial intelligence and machine learning techniques to extract deeper insights from marketing data.
 
 Build predictive models
 
 to forecast marketing performance and customer behavior, and analyze campaign data to uncover actionable insights using AI/ML techniques use predictive analytics to solve complex marketing problems and drive data-informed business decisions.
 </li>
 <li>
 
 Campaign Optimization:
 
 Apply advanced statistical analysis to evaluate campaign outcomes and identify opportunities for improvement. Develop
 
 audience segmentation models and personalization strategies
 
 to help target the right audiences at the right time provide optimization recommendations (e.g. timing, channel mix, budget allocation) based on data findings to maximize ROI on marketing campaigns.
 </li>
 <li>
 
 Reporting &amp; Insights Communication:
 
 Extract data from platforms like
 
 Google Analytics
 
 and
 
 Meta (Facebook/Instagram) Business Suite
 
 to assess campaign performance across digital channels. Prepare comprehensive analysis reports on key areas such as lead generation funnels, marketing ROI, and brand engagement, presenting findings to stakeholders in a clear narrative format.
 
 Present data-driven insights and recommendations
 
 to marketing and leadership teams, translating analytic results into concrete action items.
 </li>
 <li>
 
 Collaboration &amp; Strategy Support:
 
 Work closely with marketing, sales, and business planning teams to define campaign goals and
 
 key performance indicators (KPIs)
 
 . Partner with cross-functional teams (including product and IT) to ensure analytical findings inform strategic decisions and to implement data-driven improvements support the development of innovative marketing strategies by providing thought leadership on data and emerging trends.
 </li>
 <li>
 
 Automation &amp; Tool Development:
 
 Identify opportunities to
 
 automate data extraction, reporting, and analysis
 
 processes using AI and scripting. Develop and maintain interactive dashboards (e.g., in Tableau or Power BI) to allow stakeholders self-service access to marketing analytics. Continuously research and integrate new data tools or methodologies to enhance the analytics workflow and efficiency.
 </li>
 <li>
 
 Continuous Improvement:
 
 Stay up-to-date with the latest industry trends in marketing analytics, big data technologies, and AI applications. Monitor the effectiveness of data mining and analytics tools in use, troubleshooting any issues that arise proactively recommend and implement enhancements to data practices, ensuring our analytics approach remains cutting-edge and effective in driving marketing success.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 7+ years of relevant experience (senior level) in data science, marketing analytics, or a related field. Proven track record of leveraging data analysis to drive significant business impact and marketing ROI experience in managing large-scale data projects from inception to insight delivery.
 </li>
 <li>
 
 Digital Marketing Analytics:
 
 Hands-on experience analyzing digital marketing performance using platforms like
 
 Google Analytics
 
 (or Adobe Analytics) and social media advertising tools (Facebook/Instagram Ads Manager, Google Ads, etc.). Deep understanding of web analytics and marketing metrics to independently evaluate campaign success.
 </li>
 <li>
 
 Technical Skills:
 
 Advanced proficiency in
 
 Python
 
 for data analysis (including libraries such as pandas and NumPy) and
 
 Excel
 
 (complex formulas, pivot tables) for data manipulation. Strong ability to query and handle databases using
 
 SQL
 
 and/or to perform statistical analysis in tools, familiarity with statistical software or languages (e.g., R, SAS) is a plus.
 </li>
 <li>
 
 AI &amp; Machine Learning:
 
 Working knowledge of AI and machine learning techniques as applied to marketing data. Experience building or utilizing ML models for predictive analytics, customer segmentation, or personalization in a marketing context awareness of AI-driven marketing tools (such as optimization algorithms, chatbots, or recommendation engines) and ability to integrate these into analysis workflows.
 </li>
 <li>
 
 Big Data &amp; BI Tools:
 
 Comfortable working with
 
 large datasets
 
 (&ldquo;big data&rdquo;) from varied sources. Experience using data visualization and business intelligence tools like
 
 Power BI or Tableau
 
 to create interactive dashboards and reports for stakeholders knowledge of data warehousing concepts and ability to extract data from data warehouses or big data platforms is preferred.
 </li>
 <li>
 
 Analytical &amp; Problem-Solving Skills:
 
 Exceptional analytical thinking and problem-solving abilities, with a talent for identifying trends and insights in complex data ability to design experiments (A/B tests, multivariate testing) and apply statistical rigor to interpret results. A
 
 data-driven mindset
 
 and attention to detail in validating findings.
 </li>
 <li>
 
 Communication &amp; Storytelling:
 
 Excellent communication skills to translate data findings into compelling stories and presentations for both technical and non-technical audiences. Proven ability to
 
 communicate insights and recommendations
 
 to all levels of an organization, aiding strategic decision-making.
 </li>
 <li>
 
 Leadership &amp; Collaboration:
 
 Demonstrated ability to lead projects and possibly mentor junior analysts or data team members. A collaborative attitude to work effectively with cross-functional teams.
 
 (Leadership experience in guiding analytics initiatives or teams is a strong plus, indicating the ability to manage resources and drive a data-focused culture)
 
 </li>
 <li>
 
 Language Proficiency:
 
 Proficiency in English (written and spoken) is required. You should be comfortable reading and writing technical documentation in English and communicating findings to international stakeholders.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field such as
 
 Statistics, Data Science, Computer Science, Engineering, Mathematics, Economics, or Marketing
 
 a strong foundation in quantitative analysis is essential. Advanced degrees or relevant certifications in data analytics or marketing science are advantageous.
 </li>
 </ul>
 
 
 
 
 Our agency works on multi-sector projects, so we value candidates who are
 
 adaptable and curious about different industries
 
 , and who can apply data-driven marketing strategies in new domains. If you are an innovative thinker who stays on top of emerging trends and enjoys turning data into strategic insights, we encourage you to apply.
 
</div>

Big Data Analyst & Marketing Data Scientist

GT İnovasyon

<div>
 
 Perakende sekt&ouml;r&uuml;nde &ouml;nc&uuml; m&uuml;&scedil;terimiz i&ccedil;in &ccedil;al&inodot;&scedil;mak &uuml;zere Veri Analiti&gbreve;i ekibimize kat&inodot;lacak deneyimli bir
 
 Data Engineer
 
 ar&inodot;yoruz. Bu pozisyonda, farkl&inodot; sistemlerden veri toplama, saklama ve i&scedil;leme, veri s&uuml;re&ccedil;leri geli&scedil;tirme ve optimize etme, veri kalitesini sa&gbreve;lama gibi kritik g&ouml;revlerden sorumlu olacaks&inodot;n&inodot;z.
 
 
 
 
 
 
 Sorumluluklar:
 
 
 <ul>
 <li>
 Farkl&inodot; sistemlerden veri toplayarak tutarl&inodot; ve g&uuml;venilir bir veri kayna&gbreve;&inodot; olu&scedil;turmak ve saklamak
 </li>
 <li>
 Veri s&uuml;re&ccedil;lerinin tasarlanmas&inodot;, geli&scedil;tirilmesi ve s&uuml;rekli bak&inodot;m&inodot;n&inodot; sa&gbreve;lamak
 </li>
 <li>
 Veri kalitesinin takip etmek ve gerekli d&uuml;zenlemeleri uygulamak
 </li>
 <li>
 Veri taban&inodot;n&inodot; ve s&uuml;r&ccedil;lerini y&ouml;netmek
 </li>
 <li>
 Veri ve s&uuml;re&ccedil;leri ile ilgili sorunlar&inodot; tespit etmek ve &ccedil;&ouml;zmek
 </li>
 <li>
 Veri Analiti&gbreve;i proje payda&scedil;lar&inodot;n&inodot;n gereksinimlerini analiz etmek ve uygun &ccedil;&ouml;z&uuml;mler geli&scedil;tirmek
 </li>
 <li>
 Veri ekibi ve &ccedil;apraz fonksiyonel ekiplerle etkili bir &scedil;ekilde i&scedil; birli&gbreve;i yapmak
 </li>
 <li>
 Birden fazla projeyi &ouml;nceliklendirerek, belirlenen zaman &ccedil;izelgesine uygun &scedil;ekilde veriye y&ouml;nelik ad&inodot;mlar&inodot; y&ouml;netmek
 </li>
 </ul>
 
 
 
 
 
 Aranan Nitelikler:
 
 
 <ul>
 <li>
 M&uuml;hendislik, &Idot;statistik veya ilgili alanlardan mezun
 </li>
 <li>
 Veri m&uuml;hendisli&gbreve;i alan&inodot;nda en az 2 y&inodot;l deneyimli
 </li>
 <li>
 SQL ve veri tabanlar&inodot; konusunda en az 2 y&inodot;l deneyimli
 </li>
 <li>
 Veri modelleme tecr&uuml;be sahibi
 </li>
 <li>
 ETL s&uuml;re&ccedil;leri ve test etme konusunda tecr&uuml;be sahibi
 </li>
 <li>
 Tercihen Python programlama konusunda uygulamal&inodot; deneyim sahibi
 </li>
 <li>
 Tercihen Spark konusunda uygulamal&inodot; deneyim sahibi
 </li>
 <li>
 Tercihen PowerBI raporlama konusunda uygulamal&inodot; deneyim sahibi
 </li>
 <li>
 Tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;n, analitik d&uuml;&scedil;&uuml;nme becerisine sahip ve problem &ccedil;&ouml;zme yetene&gbreve;i geli&scedil;mi&scedil;
 </li>
 </ul>
 
 
 
 
 
 Ne Sunuyoruz?
 
 
 <ul>
 <li>
 Dinamik ve yenilik&ccedil;i bir &ccedil;al&inodot;&scedil;ma ortam&inodot;
 </li>
 <li>
 Kendi alan&inodot;nda uzman bir ekip ile birlikte &ccedil;al&inodot;&scedil;ma f&inodot;rsat&inodot;
 </li>
 <li>
 Kariyer geli&scedil;im f&inodot;rsatlar&inodot; ve e&gbreve;itim deste&gbreve;i
 </li>
 <li>
 Hibrit &ccedil;al&inodot;&scedil;ma imk&acirc;n&inodot;
 </li>
 </ul>
 
 
 
</div>

Data Engineer

Vertigo

<div>ABOUT VERTIGO GAMES
We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150 + million fans worldwide!
Check out our smash-hit games:
 Critical Strike: Download it here<ul><li>&#65039; Polygun Arena: Download it here</li></ul>
Now, we're looking for a passionate Data Engineer to join our dynamic team in Istanbul. This is an on-site role in Istanbul, Levent. This is an on-site role, requiring you to work 5 days a week from our office in Levent.
Don't miss the chance to shape the future of gaming and make your mark on millions of players worldwide!
 Watch our office video to get an inside look at the great work environment you'll join! Watch it here
Requirements<ul>
<li>Own and evolve our Airflow &amp; DBT-based data pipeline architecture.</li>
<li>Develop reliable and cost-efficient data workflows that ensure timely and accurate data delivery.</li>
<li>Build and maintain ETL/ELT processes to ingest data from external and internal sources.</li>
<li>Collaborate with analysts, engineers, and product teams to design scalable data models.</li>
<li>Implement and optimize data warehouse structures (BigQuery or others) for analytical efficiency.</li>
<li>At least 1 proven DWH project experience in cloud-native architectures (GCP or AWS)</li>
<li>Monitor and troubleshoot pipeline failures, optimize for performance and cost-efficiency.</li>
<li>Ensure data quality, consistency, and governance across the stack.</li>
</ul>Required Skills<ul>
<li>2+ years of experience in a data engineering or backend data-focused role.</li>
<li>Proficiency in DBT for data modeling and transformation.</li>
<li>Hands-on experience with Apache Airflow for orchestration and scheduling.</li>
<li>Solid understanding of ETL/ELT pipelines and cloud-based data workflows.</li>
<li>Experience working with Google Cloud Platform (e.g., BigQuery, Cloud Run, Cloud Functions, Cloud SQL).</li>
<li>Proficiency in Python for scripting and workflow automation.</li>
<li>Strong command of SQL and experience building data models in a warehouse environment.</li>
<li>Understanding of cost optimization practices in cloud environments.</li>
<li>Familiarity with CI/CD processes and version control systems like Git.</li>
<li>Good communication skills and the ability to work cross-functionally with analysts and developers.</li>
</ul>Benefits
<ul> <li>Competitive net salary</li>
 <li>Meal Card</li>
 <li>Private Health Insurance</li>
 <li>Monthly-based financial support for educational platforms</li>
 <li>Company equity: Share in the company to make you an owner, not just an employee</li>
 <li>Birthday leave</li>
 <li>Retention bonus</li>
 <li>Referral bonus</li>
 <li>5 days of annual leave from the start date</li> 
</ul> 
Interviewing<ul>
<li>Application Submission: You can apply by submitting your CV, LinkedIn profile, or a brief introduction about yourself. If your profile matches our requirements, we'll reach out to you.</li>
<li>People &amp; Culture Interview: You'll meet with our People &amp; Culture team to talk about your background, your goals, and how we fit in. This meeting will take place online via Google Meet.</li>
<li>Case Study: You&rsquo;ll take on a practical task related to the role to demonstrate your skills in a case study.</li>
<li>Technical Interview: You&rsquo;ll have an in-depth discussion of the case and meet the lead of the relevant department at our Istanbul office.</li>
<li>Final Meeting: You&rsquo;ll have a face-to-face meeting</li></ul></div>

Accenture

<div><div>Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.</div><div> 
What&rsquo;s in it for you?<div>
&#10024;Work-Life Balance: Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</div><div>
Health &amp; Wellness: Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</div><div>
Transportation: Shuttle service / Transportation support</div><div>
 Financial Benefits: Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points</div><div>
Professional Development: Learning budget / Personal career development with People Leads / Buddy Program</div><div>
Work Environment: Working on international projects with a globally diverse team / A fast-paced technology environment</div></div></div>
 
<div>We&rsquo;re looking for a Cloud Data Engineer to join our dynamic Use Case Development team. This team is responsible for building end-to-end data-driven solutions using cloud technologies and modern data platforms. From ingesting and transforming data to creating intuitive front-end interfaces, you&rsquo;ll play a key role in delivering impactful use cases that drive business value. 
What You&rsquo;ll Do<ul><li>
Design and implement scalable data pipelines and ETL processes using cloud-native tools.</li><li>
Collaborate with business stakeholders to gather requirements and translate them into technical solutions.</li><li>
Develop and maintain infrastructure as code using Terraform and AWS CDK.</li><li>
Support the full software development lifecycle (SDLC), including testing (UAT) and release.</li><li>
Work with modern data platforms and visualization tools to deliver insights.</li></ul>
Key Technologies<ul><li>
Cloud Platforms: AWS (EMR, Glue, S3, Lambda, ECS, ECR, Kinesis, IAM, Athena, DynamoDB, CodeBuild, CloudWatch, SNS, SQS, CDK, RDS, Networking &amp; Security Groups)</li><li>
Data Engineering: Python, PySpark, Apache Spark, Apache Iceberg, Kafka (Streaming)</li><li>
Infrastructure: Terraform</li><li>
Visualization: QuickSight</li><li>
Front-End: JavaScript, TypeScript</li><li>
Data Platforms: Palantir Foundry</li></ul>
Ideal Candidate<ul><li>
Strong experience in cloud data engineering and building production-grade pipelines.</li><li>
Proficient in Python and PySpark for data processing.</li><li>
Familiarity with AWS services and infrastructure automation.</li><li>
Experience with modern data platforms and visualization tools.</li><li>
Comfortable working across the SDLC and engaging with business stakeholders.</li></ul><div></div><div>
Ready to make an impact? If you are excited about working with cutting-edge technology and participating in thrilling international projects, we want to hear from you! Join Accenture and achieve your goals.</div><div>
#GreatPlaceToWork</div><div> 
Apply Now!</div></div>

Cloud Data Engineer – Use Case Development Team

Yapı Kredi

<div>
 
 
 
 Yap&inodot; Kredi - Uzman Veri M&uuml;hendisi
 
 
 
 
 
 
 
 Yap&inodot; Kredi olarak 1944&rsquo;ten beri ilklerin, yeniliklerin ve k&uuml;lt&uuml;r sanat&inodot;n bankas&inodot;y&inodot;z. Finans sekt&ouml;r&uuml;n&uuml;n tart&inodot;&scedil;mas&inodot;z lideri olma vizyonuyla yolumuzda ilerliyor, her ad&inodot;m&inodot;m&inodot;zda payda&scedil;lar&inodot;m&inodot;za ve &uuml;lkemize de&gbreve;er kat&inodot;yoruz. Bug&uuml;n&uuml; oldu&gbreve;u kadar gelece&gbreve;i de &ouml;nemsiyor, s&uuml;rd&uuml;r&uuml;lebilirli&gbreve;i i&scedil; k&uuml;lt&uuml;r&uuml;m&uuml;z&uuml;n merkezine yerle&scedil;tiriyoruz.
 
 
 
 
 
 Sen de bug&uuml;ne ve gelece&gbreve;e de&gbreve;er katan, yenilik&ccedil;i fikirlerin pe&scedil;inden giden, g&uuml;c&uuml;n&uuml; birbirinden alan bir ekibin par&ccedil;as&inodot; olmak istersen hemen aram&inodot;za kat&inodot;l.
 
 
 
 
 
 
 Uyum, &Idot;&ccedil; Kontrol ve Risk Y&ouml;netimine ba&gbreve;l&inodot; Kredi Riski Veri M&uuml;hendisli&gbreve;i ekibimizde g&ouml;rev alacak Uzman Veri M&uuml;hendisi ar&inodot;yoruz!
 
 
 
 
 
 
 
 
 Uzman Veri M&uuml;hendisinin sorumluluklar&inodot; neler?
 
 
 
 
 
 
 <ul>
 <li>
 Makine &ouml;&gbreve;renimi modellerinin canl&inodot;ya al&inodot;m&inodot;,
 </li>
 <li>
 Gereksinimleri anlamak &uuml;zere payda&scedil; ekiplerle &ccedil;al&inodot;&scedil;abilmek i&ccedil;in ileti&scedil;im kurulmas&inodot;,
 </li>
 <li>
 Veri kaynaklar&inodot;n&inodot;n analitik s&uuml;re&ccedil;lerde kullan&inodot;m&inodot; i&ccedil;in da&gbreve;&inodot;t&inodot;k hesaplama y&ouml;ntemlerinden faydalanarak s&inodot;f&inodot;rdan ETL/ELT ak&inodot;&scedil;lar&inodot;n&inodot;n olu&scedil;turulmas&inodot;,
 </li>
 <li>
 &Ccedil;e&scedil;itli analitik platformlarda b&uuml;y&uuml;k veri setleri &uuml;zerinde da&gbreve;&inodot;t&inodot;k hesaplama y&ouml;ntemlerini kullanarak ba&scedil;tan uca makine &ouml;&gbreve;renmesi modelleme ak&inodot;&scedil;lar&inodot;n&inodot;n olu&scedil;turulmas&inodot; ve otomatik yeniden &ouml;&gbreve;renme s&uuml;recinin kurgulanmas&inodot;.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Bu rol i&ccedil;in arad&inodot;&gbreve;&inodot;m&inodot;z nitelikler neler?
 
 
 
 
 
 
 <ul>
 <li>
 &Uuml;niversitelerin Bilgisayar M&uuml;hendisli&gbreve;i, Elektrik ve Elektronik M&uuml;hendisli&gbreve;i, End&uuml;stri M&uuml;hendisli&gbreve;i ve ilgili Bilgi Teknolojileri b&ouml;l&uuml;mlerinden lisans veya tercihen y&uuml;ksek lisans mezunu,
 </li>
 <li>
 Veri m&uuml;hendisli&gbreve;i alan&inodot;nda tercihen b&uuml;y&uuml;k veri teknolojileri &uuml;zerine en az 2 y&inodot;ll&inodot;k uygulamal&inodot; deneyimi bulunan,
 </li>
 <li>
 SQL performans ayarlama, karma&scedil;&inodot;k sorgular yazma, optimizasyon, ili&scedil;kisel veri tabanlar&inodot; ve PL/SQL, MS/SQL gibi veri depolama ara&ccedil;lar&inodot; ile &ccedil;al&inodot;&scedil;ma konusunda yeterlili&gbreve;e sahip,
 </li>
 <li>
 Python programlama konusunda uygulamal&inodot; deneyime sahip,
 </li>
 <li>
 Python/PySpark kullanarak on premise veri kaynaklar&inodot; ve harici sistemler ile ETL/ELT i&scedil; ak&inodot;&scedil;lar&inodot; geli&scedil;tirme konusunda uzmanl&inodot;k sahibi,
 </li>
 <li>
 Tercihen PySpark ile b&uuml;y&uuml;k &ouml;l&ccedil;ekli toplu ve ger&ccedil;ek zamanl&inodot; veri i&scedil;lem hatlar&inodot; tasarlama, olu&scedil;turma ve &ccedil;al&inodot;&scedil;t&inodot;rma deneyimi bulunan,
 </li>
 <li>
 Tercihen Linux tabanl&inodot; sistemlerde Shell scripting konusunda deneyimli.
 </li>
 </ul>
 
 
 
 
 
 
 Yap&inodot; Kredili olmak sana neler katacak?
 
 
 
 
 
 
 
 📖 Yap&inodot; Kredi Akademi ile s&inodot;n&inodot;rs&inodot;z geli&scedil;im,
 
 
 🏆Fark yaratan ba&scedil;ar&inodot;lar&inodot;n &ouml;d&uuml;llendirece&gbreve;i takdir ve &ouml;d&uuml;llendirme uygulamalar&inodot;,
 
 
 🔄Yap&inodot; Kredi ve Ko&ccedil; Grubu i&ccedil;inde kariyer, geli&scedil;im ve rotasyon f&inodot;rsatlar&inodot;,
 
 
 ⚕️&Ouml;zel sa&gbreve;l&inodot;k ve hayat sigortas&inodot;,
 
 
 🍝TokenFlex dijital yemek kart&inodot;,
 
 
 ✨Sosyal destek &ouml;demeleri,
 
 
 🐾Yap&inodot; Kredi G&ouml;n&uuml;ll&uuml;leri ile d&acirc;hil olabilece&gbreve;in sosyal sorumluluk projeleri,
 
 
 🏀16 farkl&inodot; spor dal&inodot;nda faaliyet g&ouml;steren Yap&inodot; Kredi Spor Kul&uuml;b&uuml;,
 
 
 🎭Yap&inodot; Kredililerin sosyal kul&uuml;b&uuml; BizClub ile bir&ccedil;ok k&uuml;lt&uuml;r-sanat etkinli&gbreve;ine indirimli bilet alma f&inodot;rsat&inodot;,
 
 
 🎁&Ouml;zel g&uuml;nler i&ccedil;in hediye kitleri,
 
 
 🎂Do&gbreve;um g&uuml;n&uuml; izni,
 
 
 🐏Ko&ccedil; Ailem, Ko&ccedil; Akademi, Ko&ccedil; Healthcare e&scedil;li&gbreve;inde Ko&ccedil;lu olman&inodot;n ayr&inodot;cal&inodot;kl&inodot; d&uuml;nyas&inodot;,
 
 
 &hellip;ve &ccedil;ok daha fazlas&inodot;!
 
 
 
 
 
 E&gbreve;er sen de bu d&uuml;nyan&inodot;n bir par&ccedil;as&inodot; olmak istiyorsan, hemen ba&scedil;vurunu yap ve Yap&inodot; Kredili olma yolunda ilk ad&inodot;m&inodot;n&inodot; at!
 
 
 Gelece&gbreve;e y&ouml;n vermek
 
 #Yap&inodot;m&inodot;zdaVar
 
 .
 
 
 
 
 
 
 * Yap&inodot; Kredi&rsquo;de i&scedil;e al&inodot;m s&uuml;recimiz t&uuml;m pozisyonlar i&ccedil;in &Idot;K g&ouml;r&uuml;&scedil;mesi, y&ouml;netici g&ouml;r&uuml;&scedil;meleri ve yetkinlik de&gbreve;erlendirme envanterleri i&ccedil;erir. B&uuml;t&uuml;n a&scedil;amalar&inodot; ba&scedil;ar&inodot;yla tamamlaman durumunda teklif a&scedil;amas&inodot;na ge&ccedil;ilir.
 
 
 
 
 
 
 
 &ldquo;6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda ki&scedil;isel verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;za ve bu konudaki detayl&inodot; bilgiyehttps://kariyerim.yapikredi.com.tr/Account/StaticKvkk adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz."
 
 
 
 
</div>

Uzman Veri Mühendisi

Zepp Health

<div>
 
 
 Job Title:
 
 NLP/ML/AI Engineer - Generative Modeling
 
 
 
 Location:
 
 Turkey (Istanbul)
 
 
 
 Introduction
 
 : Zepp Health (NYSE: ZEPP) is a global smart wearable and health technology leader that empowers users to live their healthiest lives by optimizing their health, fitness, and wellness journeys through its leading brands such as Amazfit, Zepp Clarity and Zepp Aura. Our Big Data and Cloud team is building world-class applications such as Zepp Coach (an AI-powered feature that offers tailored guidance to help users train more scientifically) and Zepp Aura (an innovative rest and mindfulness solution that provides users with dynamic tools to enjoy deeper sleep, improve their mental well-being and lead a more joyful life).
 
 
 
 
 
 
 Position:
 
 
 
 We are seeking a Software Engineer with hands-on experience in integrating AI applications into backend systems. This role involves dataset construction, AI system integration, and pipeline evaluation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead the design and development of cutting-edge AIGC (AI-Generated Content) applications.
 </li>
 <li>
 Evaluate model performance and drive data-informed optimizations to improve accuracy and system efficiency.
 </li>
 <li>
 Collaborate closely with cross-functional teams&mdash;including modeling and product&mdash;to shape the strategic roadmap for AI/NLP initiatives.
 </li>
 <li>
 Stay current with industry trends and incorporate innovative techniques into production systems.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related discipline.
 </li>
 <li>
 Experience building AI pipelines that directly support product features.
 </li>
 <li>
 Proficiency in Python and some level of experience with ML frameworks is preferred (sklearn, pytorch)
 </li>
 <li>
 Theoretical foundation in ML, with a focus on model evaluation.
 </li>
 <li>
 Strong problem-solving abilities and a data-driven, analytical mindset.
 </li>
 <li>
 Proven ability to excel in a remote work environment and lead an international team across multiple time zones.
 </li>
 </ul>
 
 
 
 
 We are excited to welcome passionate individuals who can contribute to our AI-powered innovations. If you have the required qualifications and a drive to make a difference in the field of AI, we encourage you to apply today!
 
</div>

AI Backend Engineer - Team Lead

Perfetti Van Melle

<div>
 
 
 About the job
 
 
 
 
 
 
 Perfetti Van Melle, one of the largest multinational companies in the confectionary market, owner of leading local and global brands like Vivident, Mentos, Chupa Chups or Big Babol would like to employ Material Planning Engineer.
 
 
 
 
 
 
 Responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Placing purchase orders to the suppliers.
 </li>
 <li>
 Calling materials from the suppliers according to the needed list communicated by the production planning unit.
 </li>
 <li>
 Ensuring that the purchase orders at the suppliers are produced on time and kept ready to be shipped at the supplier inventory.
 </li>
 <li>
 Ensuring that the suppliers are preparing and sending the needed order documents properly according to the procedures of accounting and warehouse departments.
 </li>
 <li>
 Sharing materials resource planning (MRP) results and following up with all suppliers.
 </li>
 <li>
 Communicating corrective and preventive actions (CAPAs) to suppliers and following up the solutions.
 </li>
 <li>
 Controlling the invoices of all imported materials.
 </li>
 <li>
 Evaluating supplier performance and give prompt feedback to the suppliers accordingly.
 </li>
 </ul>
 
 
 
 
 
 Qualifications required for this position are as follows;
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Engineering (preferably Industrial, Chemical)
 </li>
 <li>
 2-3 years experience in Supply Chain, especially in Purchasing-Procurement
 </li>
 <li>
 Good command of written and verbal English,
 </li>
 <li>
 Good command of MS Office (SAP knowledge is an asset),
 </li>
 <li>
 Good communication and negotiation skills,
 </li>
 <li>
 Analytical and problem solving skills,
 </li>
 <li>
 Residing in &Idot;stanbul European side,
 </li>
 </ul>
</div>

Material Planning Engineer

Explore 761+ Big data engineer in Istanbul this September. Find roles across top companies and apply now to boost your career.

761 big data engineer jobs IN Istanbul

Big Data Analyst & Marketing Data Scientist

Data Engineer

Data Engineer

Cloud Data Engineer – Use Case Development Team

Uzman Veri Mühendisi

AI Backend Engineer - Team Lead

Material Planning Engineer