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lead data scientist

Vertigo

<div>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:<ul><li>Critical Strike</li><li>Polygun Arena</li></ul>
Now, we're looking for a passionate Lead Data Scientist to join our dynamic team in Istanbul. This is an on-site role in Istanbul, Levent. This is an on-site role, where you will be working 5 days a week from our office in Levent. 
 
In this role, we deeply care about your passion for data-driven insights in gaming. We highly encourage you to get familiar with both of our games before you apply and complete your application only if you're genuinely excited to explore their player behavior, in-game metrics, and performance trends to uncover meaningful insights that can drive better decisions.
Requirements<ul>
<li>
Highly proficient in SQL and Python.</li>
<li>Minimum of 3 years of hands-on data science experience in a tech companies preferably within a mobile game company.</li>
<li>Experienced in managing data within cloud warehousing environments such as BigQuery etc.</li>
<li>Excellent communication and collaboration skills to work effectively with cross-functional teams.</li>
<li>Passion and interest for mobile gaming industry trends and user behavior is a plus.</li>
</ul>
Responsibilities 
<ul>
<li>
Interpret large datasets to provide actionable insights that shape product roadmaps and strategy</li>
<li>Collaborate with engineers to optimize data pipelines, warehouses, and the overall data architecture.</li>
<li>Conduct exploratory analysis and A/B testing to identify product gaps and seize growth opportunities</li>
<li>Develop visualization suites (dashboards, reports)</li>
</ul>
Benefits<ul><li>
A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver.</li></ul><ul>
<li>Meal Allowance: Enough for a solid, satisfying meal.</li>
<li>Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever.</li>
<li>Private Health Insurance: Complementary private health insurance so you can get care without second thoughts.</li>
<li>Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job.</li>
<li>Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us.</li>
<li>Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us.</li>
<li>Referral Bonus: Introduce great talent to the team and earn a reward when they join.</li>
<li>Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution.</li>
</ul><ul><li>A Culture Built Around Players &amp; Ownership: Curious, collaborative, and focused. We&rsquo;re here to build great games together.</li>
<li>A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the &quot;zone&quot;.</li>
</ul><ul><li>Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind.</li>
<li>Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year.</li></ul></div>

Lead Data Scientist

Vertigo Games

<div>
 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:
 
 
 <ul>
 <li>
 Critical Strike
 </li>
 <li>
 Polygun Arena
 
 
 </li>
 </ul>
 Now, we're looking for a passionate
 
 Lead Data Scientist
 
 to join our dynamic team in
 
 Istanbul
 
 . This is an on-site role in Istanbul, Levent. This is an on-site role, where you will be working
 
 5 days a week from our office in Levent.
 
 
 
 In this role, we deeply care about your passion for data-driven insights in gaming. We highly encourage you to
 
 get familiar with both of our games before you apply and complete your application only if you're genuinely excited
 
 to explore their player behavior, in-game metrics, and performance trends to uncover meaningful insights that can drive better decisions.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Highly proficient in SQL and Python
 </li>
 <li>
 Minimum of 3 years of hands-on data science experience in a tech companies preferably within a mobile game company
 </li>
 <li>
 Experienced in managing data within cloud warehousing environments such as BigQuery etc
 </li>
 <li>
 Excellent communication and collaboration skills to work effectively with cross-functional teams
 </li>
 <li>
 Passion and interest for mobile gaming industry trends and user behavior is a plus
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Interpret large datasets to provide actionable insights that shape product roadmaps and strategy
 </li>
 <li>
 Collaborate with engineers to optimize data pipelines, warehouses, and the overall data architecture
 </li>
 <li>
 Conduct exploratory analysis and A/B testing to identify product gaps and seize growth opportunities
 </li>
 <li>
 Develop visualization suites (dashboards, reports)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver
 </li>
 <li>
 Meal Allowance: Enough for a solid, satisfying meal
 </li>
 <li>
 Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever
 </li>
 <li>
 Private Health Insurance: Complementary private health insurance so you can get care without second thoughts
 </li>
 <li>
 Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job
 </li>
 <li>
 Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us
 </li>
 <li>
 Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us
 </li>
 <li>
 Referral Bonus: Introduce great talent to the team and earn a reward when they join
 </li>
 <li>
 Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution
 </li>
 <li>
 A Culture Built Around Players &amp; Ownership: Curious, collaborative, and focused. We're here to build great games together
 </li>
 <li>
 A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the "zone"
 </li>
 <li>
 Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind
 </li>
 <li>
 Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year
 </li>
 </ul>
</div>

<div><div><div><div><ul><li>REQ-10106301</li>
<li>12/12/2025</li>
<li>Data Science</li>
<li>Istanbul, Turkije</li>
<li><div>ING Hubs</div></li></ul><div> 
</div></div></div></div><div><div><div><div><div>About ING Hubs
Following ING&rsquo;s strategic ambition to deliver a superior eperience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated epertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 , , , ℎ ℎ , ℎ 11,000 ℎ , , - .
ING Hubs Turkiye core capabilities, , have us looking for data eperts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 ̈ 
ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an eisting framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
We value strong work ethics, knowledge sharing and fleibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!
ING Analytics
ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of several Global Analytics Centre of Ecellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics). as well as strong coordination areas around data management, technology, customer journey, U, as well as eternal partnerships.
Roles and responsibilities
As a Chapter Lead you have a dual role. You build a strong-identity team that apply their diverse skills and perspectives to achieve common goals, actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship, in this instance for Advanced Analytics. On the other hand, you are spending the majority of your time working together with your team as a contributor on the delivery as well. As a Chapter Lead you have the complete overview and insight on the capabilities, epertise and eperience of your chapter members and you will be responsible to decide on allocation of your chapter members capacity for the global backlog delivery demand coming from the Product Lead and Tribe Lead.
Role Profile
As Chapter Lead Data Science, you report to the Tribe Lead Retail Banking Analytics.
Your responsibilities include:<ul><li>
Together with the Tribe Lead and Product Lead develop a view on the future of the DS capability craftsmanship and drive continues development of your chapter members</li><li>
Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery</li><li>
Together with the Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities</li><li>
Steer and develop your chapter members to meet both their career goals and the organisation&rsquo;s goals, driving engagement and results via inspiring leadership.</li><li>
Contribute to the success of the projects you are assigned to by doing hands-on data scientist work.</li><li>
Hands-on and multiple retail DS project management in lending, personalization and pricing domains</li>
Act as an e<li>pert on the craftmanship development needs for Data Science</li><li>
Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these</li><li>
Work with your colleagues on the (global) backlog deliveries</li><li>
Attract and retain the best talents, leading interviews when needed for your chapter</li></ul>
How to succeed
Education:Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
Eperience:
Management eperience in an Agile organization. Management eperience in a matri<ul><li> set up is a plus.</li><li>
Strong analytic skills.</li>
E<li>perience as a data scientist in retail domain.</li>
E<li>perience/ knowledge of the business of the Tribe you work in.</li></ul>
Competencies:<ul><li>
A proven track record in analytics, backlog management and resource planning</li>
Ability to lead teams of eperts working in a highly comple<li> and dynamic environment promoting awareness in others</li><li>
Achieve optimum results by empowering teams</li><li>
Passionate about developing teams to achieve craftmanship and personal development.</li><li>
A mindset that focusses on continuous improvement.</li>
E<li>cellent level of python and spark</li>
E<li>cellent level of English</li>
Agile/Scrum e<li>perience</li></ul>
What do we offer:
At ING Hubs Turkiye we want your work to fulfill you in every way, and that is why we take care of even the smallest detail. Check out what is waiting for you;
At our organization, you first be yourself, then you are ING&rsquo;er, therefore;<ul><li>14 days of welcome leave days even in your first year! Don&rsquo;t postpone your dreams!</li><li>We provide self-driven career opportunities where you have never</li><li>Personal growth &amp; challenging work with endless opportunities to realize your ambitions</li><li>An informal, dynamic environment with innovative colleagues supporting your endeavors</li><li>Take a part in global projects and/or career opportunities</li><li>Have fun with various communication activities &amp; celebrations</li><li>We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)</li><li>Private Pension plan for your future dreams</li></ul></div></div><div><ul><div> 
</div><div></div><div>
</div></ul></div></div><div><div><div><div><div>Your place of work</div>
<div><div>Eplore the area</div>
</div></div></div><div>Questions? Just ask 
ING Recruitment team<div> 
</div></div></div></div></div></div><div><div><div><div>Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.</div></div></div></div></div>

Chapter Lead Data Scientist

PlusMinusOne

<div>
 
 PlusMinusOne is a&nbsp;
 
 mobile startup studio
 
 &nbsp;that focuses on developing and marketing its own apps that are used and loved by millions of people around the world. Our products collectively reach&nbsp;
 
 more than a half-million&nbsp;new users every month in the US market alone.
 
 &nbsp;Our team works in hybrid model with&nbsp;offices in&nbsp;San Francisco, Istanbul and Ankara.
 
 
 
 
 
 We have been building mobile products focused on Business, Photo &amp; Video, and Education categories in the App Store mainly for the US market since 2016. And in each of these categories,
 
 our goal is the same:&nbsp;provide actual value to people with the best mobile user experience.
 
 
 
 
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help build our predictive analytics infrastructure from the ground up and drive user growth through data.
 
 
 
 
 
 
 
 What we are looking for:
 
 
 <ul>
 <li>
 Degree in STEM or equivalent practical experience
 </li>
 <li>
 2+ years of work experience as a
 
 full-stack
 
 data scientist or analyst covering problem identification, raw data ingestion &amp; pipelining, predictive analytics, reporting &amp; communicating the insights
 </li>
 <li>
 Advanced proficiency in Python/PySpark, SQL, and Git
 </li>
 <li>
 Solid understanding of time series forecasting and classification models
 </li>
 <li>
 Experience with orchestration and BI tools
 </li>
 <li>
 User acquisition analytics, campaign optimization, and A/B testing experience (strong plus)
 </li>
 <li>
 Hands-on experience deploying ML models in production environments (strong plus)
 </li>
 <li>
 Experience with big data frameworks, Airflow, Tableau, Linux, or any data warehouse (strong plus)
 </li>
 <li>
 Background in mobile app or consumer product analytics (strong plus)
 </li>
 <li>
 Appreciation of team spirit
 </li>
 <li>
 Bias for action and ownership mentality
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Your responsibilities will be:
 
 
 <ul>
 <li>
 Design, implement and manage scalable data pipelines by writing production-grade code and by using modern cloud technologies
 </li>
 <li>
 Lead LTV (Lifetime Value) prediction initiatives to optimize user acquisition strategies
 </li>
 <li>
 Build and maintain dashboards and self-serve analytics tools to help unlock the potential of data
 </li>
 <li>
 Collaborate with product and engineering teams to translate analytical insights into actionable features
 </li>
 <li>
 Analyze UA campaigns and implement LTV/MMM models to evaluate and optimize UA campaign performance
 </li>
 <li>
 Launch A/B tests at scale and provide actionable insights to relevant teams
 </li>
 <li>
 Leverage event data to perform funnel analysis, identify conversion bottlenecks, and increase user retention
 </li>
 </ul>
 
 &nbsp;
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Opportunity to make an impact on millions of global users' life and the future of mobile
 </li>
 <li>
 Chance to be a part of a passionate and driven team where everyone&rsquo;s ideas are valued
 </li>
 <li>
 Working in an environment with a Silicon Valley startup culture and benefits
 </li>
 <li>
 A hybrid work environment with 3 days a week at the Kabata&scedil; Istanbul office
 </li>
 <li>
 14 days of paid vacation that starts from the first year of joining the team
 </li>
 <li>
 Quarterly profit sharing based on performance
 </li>
 <li>
 Ability to own a stock option after the first year
 </li>
 <li>
 Private health insurance package
 </li>
 <li>
 Reimbursement package for any education, course, etc.
 </li>
 <li>
 Reimbursement package for your sports activities
 </li>
 <li>
 A Macbook, iPhone, magic mouse, magic keyboard, and any other hardware that you need to deliver your best work.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Let's shape the future of mobile together!
 
 
</div>

Data Scientist

Bilyoner

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

Senior Data Scientist

Hub Enertech

<div>
 
 
 About the job:
 
 
 
 Hub Enertech combines data analytics, AI, and energy market expertise to help our clients make better decisions and strengthen their market position. We're seeking an enthusiastic Customer Success Manager to join our team, focusing on the product design and user experience ecosystem to ensure our clients achieve maximum value from our creative tools. The applicant will collaborate closely with our data science and development teams, working together to drive innovation and positively impact the industry. This role offers career growth and learning opportunities, surrounded by experienced professionals passionate about their work.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Technical Validation: Take a hands-on approach to testing product iterations, identifying bugs or UX friction points, and collaborating with developers to refine the product before it reaches the end-user.
 </li>
 <li>
 Strategic Onboarding: Lead the end-to-end implementation process for new B2B partners, ensuring our data analytics tools are seamlessly integrated into their existing energy-market workflows.
 </li>
 <li>
 Product Advocacy &amp; Feedback Loop: Act as the "voice of the customer" for our data science and development teams, translating client pain points into actionable product requirements for our AI-driven features.
 </li>
 <li>
 User Experience Optimization: Monitor how clients interact with our product design ecosystem, identifying friction points and providing tailored training to ensure they are leveraging our full suite of energy-market tools.
 </li>
 <li>
 Data Translation: Simplify complex AI and data-driven insights for non-technical client teams, ensuring they understand the "so what" behind the analytics to drive business value.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Mathematics, or a related field. Advanced degrees or relevant certifications are a plus.
 </li>
 <li>
 3+ years of experience in Customer Success, Account Management, or Product Management, ideally within a B2B SaaS, Energy-Tech, or FinTech environment.
 </li>
 <li>
 Analytical Mindset: Comfortable working with data-heavy products. You don't need to be a Data Scientist, but you should be able to interpret AI-driven insights and explain them clearly to clients
 </li>
 <li>
 Industry Knowledge: A baseline understanding of energy markets or a strong desire to become a subject matter expert in energy data and analytics.
 </li>
 <li>
 Communication: Exceptional ability to translate technical "jargon" into business value. You can hold your own in a room with both Data Scientists and C-suite executives.
 </li>
 <li>
 Problem-Solving: A proactive approach to troubleshooting. When you see a bug or a friction point in the user journey, your first instinct is to document it and suggest a fix.
 </li>
 <li>
 Tools: Familiarity with project management or design tools (e.g., Jira, Confluence, Miro) is preferred.
 </li>
 <li>
 Adaptability, openness to feedback, and a passion for continuous learning and professional development.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 
 &bull; Opportunity to learn about a wide variety of energy products from experienced developers, traders, data scientists, and analysts,
 
 
 &bull; An attractive benefits package that aligns with your qualifications
 
</div>

Customer Success Manager

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at Turknet
 
 
 
 We&rsquo;re looking for an experienced Data Scientist to join our game-changing team.
 
 
 
 
 
 
 📱 What You'll Do
 
 
 <ul>
 <li>
 Understand business objectives and data requirements, and transform them into valuable insights and analytical solutions.
 </li>
 <li>
 Manage data analysis processes and prepare datasets for analysis.
 </li>
 <li>
 Process large datasets using big data technologies.
 </li>
 <li>
 Develop predictive models, classifications, and clustering solutions using machine learning algorithms.
 </li>
 <li>
 Present and communicate data results effectively with visualizations.
 </li>
 </ul>
 
 
 
 
 
 👩 👨 Who You Are
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Computer Engineering, Statistics, Mathematics, or a similar quantitative discipline.
 </li>
 <li>
 Extensive experience with SQL. Proficiency in Python and related data analysis, data manipulation, and modeling libraries (Pandas, NumPy, Scikit-learn, etc.).
 </li>
 <li>
 Strong understanding of the Data Science model development lifecycle (data understanding, data cleaning, feature engineering, model training, evaluation, and monitoring).
 </li>
 <li>
 Hands-on experience with machine learning models, statistical methods, and optimization algorithms for real-world problems.
 </li>
 <li>
 Experience with big data technologies is a plus.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Scientist, so you should have 3+ years of experience in a Data Science role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 
 
 
 🚀Our Recruitment Process
 
 
 
 We are guided by our goal of creating an equitable and inclusive experience where candidates from a wide range of backgrounds have the opportunity to succeed. We do not imagine a complicated recruitment process. That's why we care about the process being short, fast and transparent.
 
 
 1.Application: You can apply for open positions via Linkedin.
 
 
 2.First Interview: First of all, we want to evaluate your skills and see if they are compatible with TurkNet values.
 
 
 3.Case study: For some positions we may need to test technical skill.
 
 
 4.Second Interview: We would like to examine your technical skills in depth with our leader(s).
 
 
 5.Welcome to TurkNet!
 
 
 
</div>

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