data scientist Jobs in R D Bus Jobs In Istanbul Turkey

data scientist

data analyst Jobs in R D Bus Jobs In Istanbul Turkey

data analyst

senior data scientist Jobs in R D Bus Jobs In Istanbul Turkey

senior data scientist

data scientist / senior data scientist Jobs in R D Bus Jobs In Istanbul Turkey

data scientist / senior data scientist

lead data scientist Jobs in R D Bus Jobs In Istanbul Turkey

lead data scientist

data engineer

dataSpecta

<div>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At DataSpecta, we develop innovative solutions that shape the business world by unlocking the power of data. We are looking for a passionate
  <strong>
   Data Engineer
  </strong>
  to join our growing data team, who will transform raw data into meaningful and reliable data products. In this role, you will play a key part in modernizing traditional ETL processes and architecting next-generation data platforms using big data technologies like Spark and Flink.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and manage end-to-end, efficient, and scalable data pipelines using big data processing technologies like Spark and Flink, as well as industry-standard ETL tools
  </li>
  <li>
   Create flexible data models and data warehousing solutions to support analytics and reporting processes that meet business needs
  </li>
  <li>
   Analyze existing ETL/ELT processes and SQL queries to implement improvements, optimize resource consumption, and enhance performance
  </li>
  <li>
   Collaborate closely with data scientists, analysts, and business units to understand data requirements and deliver high-quality data products
  </li>
  <li>
   Ensure the implementation of data governance and security standards, including data quality, data lineage, and reliability
  </li>
  <li>
   Stay current with new technologies and approaches in the data field and proactively recommend improvements to the existing infrastructure
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Management Information Systems (MIS), Mathematics, or a related field
  </li>
  <li>
   3+ years of hands-on experience in Data Engineering or Data Warehousing
  </li>
  <li>
   Proven experience in developing large-scale data pipelines and ETL/ELT workflows using Python and Spark
  </li>
  <li>
   Hands-on experience with workflow scheduling platforms such as Airflow, Dagster, or similar technologies
  </li>
  <li>
   Advanced proficiency in SQL and experience with procedural SQL languages such as Oracle PL/SQL
  </li>
  <li>
   Experience working with structured and semi-structured data formats like Parquet, Avro, and JSON
  </li>
  <li>
   In-depth knowledge of modern data architectures such as data lakes, data lakehouses, and core data modeling principles
  </li>
  <li>
   Experience with at least one industry-standard ETL tool such as ODI, Informatica, or Talend
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications (Nice to have):
  </strong>
 </p>
 <ul>
  <li>
   Experience with data processing and optimization in cloud environments (AWS, Azure, GCP), with a preference for GCP
  </li>
  <li>
   Experience with real-time data processing and streaming technologies, such as Kafka
  </li>
  <li>
   Familiarity with workflow management platforms like Airflow
  </li>
  <li>
   Knowledge of containerization technologies like Docker and Kubernetes, and CI/CD processes
  </li>
  <li>
   Familiarity with BI tools such as Power BI
  </li>
  <li>
   Experience in the banking or finance industry is a significant advantage
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Personal Attributes:
  </strong>
 </p>
 <ul>
  <li>
   Excellent communication skills in English, both written and verbal
  </li>
  <li>
   Strong analytical thinking, problem-solving skills, and a results-oriented mindset
  </li>
  <li>
   A team player with the ability to communicate effectively with stakeholders at all technical levels
  </li>
  <li>
   Detail-oriented with a commitment to delivering high-quality work
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Follow us:
   </em>
  </strong>
 </p>
 <ul>
  <li>
   LinkedIn: https://www.linkedin.com/company/innovance-consultancy
  </li>
  <li>
   LinkedIn: https://www.linkedin.com/company/dataspecta
  </li>
  <li>
   Instagram: https://www.instagram.com/innovanceconsultancy
  </li>
  <li>
   Instagram: https://www.instagram.com/dataspecta
  </li>
 </ul>
</div>


Data Engineer

Trendyol

<div><div><div><b>About the Team</b></div><div>
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.</div><div>
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.</div><div></div><div><b><br>
About the Role</b></div><div>
As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Build and maintain scalable data pipelines for batch and real-time data processing.</li><li>
Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions</li><li>
Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams</li><li>
Collaborate with cross-functional teams to define data architecture and infrastructure requirements</li><li>
Monitor and improve pipeline performance, scalability, and resilience</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Bachelor's degree in Computer Science, Engineering or related Information Technologies field</li><li>
2+ years of experience as a Data Engineer or in a similar data-focused role</li><li>
Strong Software Engineering skills</li><li>
Experience with Scala or Java programming language</li><li>
Experience with Go programming language is a plus</li><li>
Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium</li><li>
Experience with big data processing frameworks such as Apache Spark</li><li>
Familiarity with real-time data processing and streaming architectures for low-latency analytics</li><li>
Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)</li><li>
Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect</li><li>
Strong proficiency in SQL for data manipulation, querying, and optimization</li><li>
Experience with RESTful APIs</li><li>
Experience with both RDBMS and NoSQL databases</li><li>
Experience with testing frameworks, including unit testing and data quality validation for data pipelines</li><li>
Experience with containerization technologies such as Docker and Kubernetes</li><li>
Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices</li><li>
Strong problem-solving skills and the ability to work independently and collaboratively</li><li>
Strong English communication skills, written and verbal</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Tech Stack</b></h3><ul><li><ul><li>
Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)</li><li>
Data Integration: Kafka Connect, Debezium</li><li>
Data Processing: Apache Spark</li><li>
Streaming &amp; Messaging: Apache Kafka</li><li>
Workflow Orchestration: Apache Airflow</li><li>
DevOps &amp; Infrastructure: Docker, Kubernetes, GitLab CI, Terraform</li><li>
Version Control: Git</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><ul><li><b>Hybrid working model with flexibility:</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</li><li><b>Customisable FlexBenefits budget: </b>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.</li><li><b>Well-being support: </b>Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li><b>Personalised training allowance and learning opportunities: </b>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.</li><li><b>Responsibility from day one: </b>Take full ownership from the start in a culture where every voice is heard and valued.</li><li><b>A diverse, international team: </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li><b>Opportunities to grow with the best: </b>Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li><b>Meaningful connections beyond tasks:</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</div><div>
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></div></div>

<div>
 <p>
  TOM Bank is T&uuml;rkiye&rsquo;s first game-changer digital retail bank with the vision of being the biggest in T&uuml;rkiye and among the five fintech in Europe.
 </p>
 <p>
  TOM , which reached 9 million users in a short time with the Hadi application, is under the umbrella of Ayd&inodot;n Holding which hosts strong brands such as A-101, English Home, Memorial and also includes companies TOM Bank, TOM Digital, TOM PAY, TOM Finansman.
 </p>
 <p>
  TOM Bank is here to change banking!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Job Description:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, build, and operate
   <strong>
    data pipelines
   </strong>
   on our modern lakehouse stack
  </li>
  <li>
   Develop and maintain
   <strong>
    batch and streaming ingestion
   </strong>
   processes for mission-critical banking data
  </li>
  <li>
   Implement clean, reliable
   <strong>
    data models
   </strong>
   using the Medallion architecture
  </li>
  <li>
   Ensure pipeline
   <strong>
    performance, reliability, and observability
   </strong>
   with best practices in monitoring, testing, and lineage
  </li>
  <li>
   Support
   <strong>
    data quality
   </strong>
   by building automated checks
  </li>
  <li>
   Collaborate with analytics, product, and engineering teams to understand data needs and deliver scalable solutions
  </li>
  <li>
   Contribute to the continuous improvement of our data environment, engineering standard
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, MIS, or a related field
  </li>
  <li>
   3+ years of experience as a
   <strong>
    Data Engineer
   </strong>
   in high-volume data environments
  </li>
  <li>
   Hands-on experience with
   <strong>
    Spark (PySpark/Scala)
   </strong>
   and distributed data processing
  </li>
  <li>
   Strong proficiency in
   <strong>
    SQL
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    object storage
   </strong>
   (S3 or compatible) and modern table formats (Iceberg/Delta/Hudi)
  </li>
  <li>
   Familiarity with
   <strong>
    Airflow
   </strong>
   or similar orchestration tools
  </li>
  <li>
   Knowledge of database fundamentals, data warehousing, medallion architecture and data modeling for analytics
  </li>
  <li>
   Nice-to-have: Talend, dbt, Kafka/streaming systems
  </li>
  <li>
   Strong communication skills and the ability to collaborate with cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who We Are :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As TOM,
 </p>
 <ul>
  <li>
   Customer Passionate 💜
  </li>
  <li>
   Game Changers 🚀
  </li>
  <li>
   Smart Efficient 🤝
  </li>
  <li>
   Super Clear 😎
  </li>
  <li>
   The Dream Team 🏅
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   If you are ready to take off, join us and let&rsquo;s change the future of banking together!
  </strong>
 </p>
 <p>
  <strong>
   To know us better, download the link :
  </strong>
  <u>
   https://hadigeliyorhadi.com.tr/hadi-indir
  </u>
 </p>
 <p>
 </p>
</div>


Vakko

<div>
 <p>
  <strong>
   Key Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree (preferably a Master&rsquo;s) in Statistics, Mathematics, Computer Science, or a related field,
  </li>
  <li>
   Strong proficiency in SQL with hands-on experience developing ETL workflows and analytical data models,
  </li>
  <li>
   Solid understanding of data warehousing, dimensional modeling, and design principles,
  </li>
  <li>
   Experience in data visualization and the ability to design clear, insightful dashboards that effectively communicate business metrics and trends,
  </li>
  <li>
   Strong skills in data cleaning, transformation, validation, and enrichment for large datasets,
  </li>
  <li>
   Excellent analytical thinking and strong attention to detail, particularly regarding data consistency and accuracy,
  </li>
  <li>
   Strong English communication skills, both written and verbal,
  </li>
  <li>
   Experience with cloud environments (especially AWS).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain ETL processes and data pipelines, ensuring smooth, consistent, and high-quality daily data flows,
  </li>
  <li>
   Develop and maintain data models, calculated fields, KPIs, and business metrics for accurate and standardized reporting,
  </li>
  <li>
   Perform data enrichment, cleaning, validation, and transformation to improve data usability and integrity,
  </li>
  <li>
   Monitor daily data refreshes, identify missing or inconsistent records, verify critical business totals, and resolve data quality issues,
  </li>
  <li>
   Analyze internal datasets and deliver data-driven insights that support business needs and strategic initiatives,
  </li>
  <li>
   Collaborate closely with business units to understand reporting requirements and contribute to data-driven decision-making processes.
  </li>
 </ul>
 <p>
 </p>
</div>


Accenture

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
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.</p><p></p><p>
What&rsquo;s in it for you?</p><p>
&#10024;<b>Work-Life Balance: </b>Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</p><p>
<b>Health &amp; Wellness: </b>Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</p><p>
<b>Transportation</b>: Shuttle service / Transportation support</p><p>
 <b>Financial Benefits: </b>Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
</p><p><b>Professional Development: </b>Learning budget / Personal career development with People Leads / Buddy Program</p><p>
<b>Work Environment</b>: Working on international projects with a globally diverse team / A fast-paced technology environment</p></div></div></div></div></div></div></div></div></div></div>
<br>
<div><p>Job Description</p><p></p><p><br>
We are looking for a detail-oriented, analytical, and customer-focused team member to support our customer onboarding, data management, and reporting processes. In this role, you will:</p><ul><li>
Work on customer onboarding processes by ingesting customer data into our analytic software.</li><li>
Troubleshoot and resolve issues that arise during customer onboarding.</li><li>
Collaborate closely with customers, helping them understand the architectural design and functionality of the software.</li><li>
Manage flight data and maintain reporting dashboards.</li><li>
Handle multiple projects across various data domains.</li><li>
Gather requirements, design, and implement scalable data pipelines to process and analyze large volumes of data.</li><li>
Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>
Manage ETL (Extract, Transform &amp; Load) frameworks and ensure the quality and timeliness of data ingestion and transformation jobs.</li><li>
Collaborate with the data analytics and visualization team to design dashboards, reports, and visualizations for stakeholders.</li><li>
Conduct exploratory, descriptive, and predictive data analyses, and generate visual summaries of data.</li><li>
Identify data quality issues proactively and drive reusability and extensibility of the overall data architecture.</li></ul><p></p><p><i>
Requirements</i></p><ul><li>
Strong ability to communicate complex technical concepts clearly and fluently in English.</li><li>
Solid understanding of IT tools and environments, including Remote Desktop Protocol and the Microsoft Azure Portal.</li><li>
Working knowledge of SFTP server protocols and secure data transfer methods.</li><li>
Experience working with unstructured data and proficiency in handling XML and JSON file formats.</li><li>
Familiarity with scripting languages such as Python or PowerShell is an advantage.</li><li>
Proficiency in Microsoft Excel is considered a plus.</li><li>
Background in aviation or exposure to aviation-related data is highly desirable.</li><li>
A bachelor&rsquo;s degree from collage required; a degree in engineering is a plus.</li></ul></div><p></p>

Medisa

<div>
 <p>
  Medisa&rsquo;da, sa&gbreve;l&inodot;kl&inodot; bireyler, sa&gbreve;l&inodot;kl&inodot; toplum ve beraberinde s&uuml;rd&uuml;r&uuml;lebilir bir d&uuml;nya in&scedil;a etme amac&inodot;yla &ccedil;al&inodot;&scedil;&inodot;yoruz. Ekibimize kat&inodot;lan her yeni yetenekle kendimizi bir ad&inodot;m daha ileriye ta&scedil;&inodot;yor, amac&inodot;m&inodot;za yakla&scedil;&inodot;yoruz. Sa&gbreve;l&inodot;k sisteminde fark yaratan i&scedil;lere imzan atan ve hayata anlaml&inodot; bir iz b&inodot;rakmak i&ccedil;in &ccedil;al&inodot;&scedil;an ekibin bir par&ccedil;as&inodot; olmak istersen seni de aram&inodot;za bekliyoruz!
 </p>
 <p>
  <br/>
 </p>
 <p>
  Medisa , Bilgi Teknolojileri Direkt&ouml;rl&uuml;&gbreve;&uuml;, Yaz&inodot;l&inodot;m Geli&scedil;tirme ve Mimari M&uuml;d&uuml;rl&uuml;&gbreve;&uuml;&rsquo;nde g&ouml;rev almak &uuml;zere
  <strong>
   Veri M&uuml;hendisi
  </strong>
  aray&inodot;&scedil;&inodot;m&inodot;z bulunmaktad&inodot;r.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Genel Nitelikler
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   &Uuml;niversitelerin Bilgisayar M&uuml;hendisli&gbreve;i, Yaz&inodot;l&inodot;m M&uuml;hendisli&gbreve;i, Matematik veya ilgili b&ouml;l&uuml;mlerinden mezun,
  </li>
  <li>
   Veri m&uuml;hendisli&gbreve;i veya ilgili alanlarda en az 5 y&inodot;l deneyimli,
  </li>
  <li>
   Oracle, PostgreSQL, SQL Server veya di&gbreve;er ili&scedil;kisel veri tabanlar&inodot; ile &ccedil;al&inodot;&scedil;ma deneyimine sahip,
  </li>
  <li>
   &Idot;leri seviyede &Idot;ngilizce bilgisine sahip,
  </li>
  <li>
   ETL ara&ccedil;lar&inodot;yla (tercihen Oracle Data Integrator veya benzeri) &ccedil;al&inodot;&scedil;m&inodot;&scedil;,
  </li>
  <li>
   Veri modelleme konular&inodot;nda ileri d&uuml;zey bilgiye sahip,
  </li>
  <li>
   Python veya Java ile veri i&scedil;leme alan&inodot;nda deneyime sahip,
  </li>
  <li>
   Veri y&ouml;neti&scedil;imi, veri g&uuml;venli&gbreve;i ve veri kalitesi s&uuml;re&ccedil;leri hakk&inodot;nda bilgiye sahip,
  </li>
  <li>
   Agile/Scrum metodolojileriyle &ccedil;al&inodot;&scedil;ma konusunda tecr&uuml;beli bir ekip arkada&scedil;&inodot; ar&inodot;yoruz.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   &Idot;&scedil; Tan&inodot;m&inodot;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   &Scedil;irketin veri altyap&inodot;s&inodot;n&inodot; geli&scedil;tirmek, optimize etmek ve y&ouml;netmek,
  </li>
  <li>
   Farkl&inodot; kaynak sistemlerden veri entegrasyonu sa&gbreve;lamak ve ETL s&uuml;re&ccedil;lerini tasarlamak, geli&scedil;tirmek ve optimize etmek,
  </li>
  <li>
   Veri ambar&inodot; modelleri olu&scedil;turmak ve veri s&uuml;re&ccedil;lerinin s&uuml;reklili&gbreve;ini sa&gbreve;lamak,
  </li>
  <li>
   B&uuml;y&uuml;k veri sistemleri, veri g&ouml;lleri ve analitik platformlarla &ccedil;al&inodot;&scedil;arak veri y&ouml;netimini ileriye ta&scedil;&inodot;mak,
  </li>
  <li>
   Veri kalitesini ve g&uuml;venli&gbreve;ini sa&gbreve;lamak i&ccedil;in gerekli s&uuml;re&ccedil;leri tasarlamak ve uygulamak,
  </li>
  <li>
   &Idot;&scedil; zekas&inodot; ve raporlama ekipleriyle i&scedil; birli&gbreve;i yaparak veri modellerini optimize etmek,
  </li>
  <li>
   Veri y&ouml;neti&scedil;imi ve metadata y&ouml;netimi s&uuml;re&ccedil;lerine katk&inodot; sa&gbreve;lamak,
  </li>
  <li>
   Qlik Sense veya benzeri veri g&ouml;rselle&scedil;tirme ara&ccedil;lar&inodot;yla veri analizi ve raporlama s&uuml;re&ccedil;lerine destek olmak,
  </li>
  <li>
   Yapay zeka ve makine &ouml;&gbreve;renmesi projeleri i&ccedil;in gerekli veri haz&inodot;rl&inodot;k s&uuml;re&ccedil;lerini y&uuml;r&uuml;tmek, veri setleri olu&scedil;turmak ve bu s&uuml;re&ccedil;lerin verimlili&gbreve;ini art&inodot;rmak,
  </li>
  <li>
   Model e&gbreve;itiminde kullan&inodot;lacak temiz ve anlaml&inodot; veri setlerini sa&gbreve;lamak &uuml;zere veri ak&inodot;&scedil;lar&inodot;n&inodot; (pipeline) tasarlamak ve geli&scedil;tirmek.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Medisa&rsquo;da seni neler bekliyor?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Yabanc&inodot; Dil Deste&gbreve;i:
  </strong>
  Online ve &uuml;cretsiz olarak &Idot;ngilizce&rsquo;mizi geli&scedil;tiriyoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   K&inodot;yafet Prosed&uuml;r&uuml;:
  </strong>
  Konforlu &ccedil;al&inodot;&scedil;may&inodot; &ouml;nemsiyor, y&inodot;l i&ccedil;erisinde kat&inodot; k&inodot;yafet kurallar&inodot; uygulam&inodot;yoruz! &Ouml;rne&gbreve;in yaz&inodot;n hem s&inodot;caktan daha az etkilenmek, hem de daha rahat &ccedil;al&inodot;&scedil;abilmek i&ccedil;in ofislerimizde &scedil;ortlar&inodot;m&inodot;zla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   &Scedil;irket Katk&inodot;l&inodot; BES:
  </strong>
  Birikim tutar&inodot;n kadar &scedil;irketin sa&gbreve;lad&inodot;&gbreve;&inodot; katk&inodot;yla gelece&gbreve;ine yat&inodot;r&inodot;m yapabilmen i&ccedil;in destek oluyoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Sabanc&inodot; Life:
  </strong>
  Sabanc&inodot; &ccedil;al&inodot;&scedil;anlar&inodot;na &ouml;zel farkl&inodot; indirim f&inodot;rsatlar&inodot;ndan yararlan&inodot;yoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Kul&uuml;plerimiz:
  </strong>
  6 farkl&inodot; spor kul&uuml;b&uuml;m&uuml;z ile d&uuml;zenli antrenmanlar yap&inodot;yor, y&inodot;l i&ccedil;erisinde &scedil;irketler aras&inodot; turnuvalara kat&inodot;larak ba&scedil;ar&inodot;lara imza at&inodot;yoruz! Sosyal kul&uuml;plerimiz ile de her ay gurme etkinliklerinden, sanat at&ouml;lyelerine; konserlerden tiyatroya uzanan keyifli aktivitelerde bulu&scedil;arak hep beraber sosyalle&scedil;iyoruz.
 </p>
 <p>
 </p>
</div>


Veri Mühendisi

Peak

<div>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Here's what you&rsquo;ll do
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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:
   <em>
    (dbt (Python, SQL), Snowflake, Looker, Hex, Streamlit, Airflow)
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desired skills and experiences
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Areas in which you'll continue to grow
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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

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Veri Mühendisi

Data Scientist