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data science team manager Jobs in Istanbul

data science team manager

chapter lead data scientist

<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

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.
 
 
 
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
 
 
 
 
 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 
 
 ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing 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 flexibility 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 Excellences 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, UX, as well as external 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, expertise and experience 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>
 <li>
 Act as an expert 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)
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Management experience in an Agile organization. Management experience in a matrix set up is a plus.
 </li>
 <li>
 Strong analytic skills.
 </li>
 <li>
 Experience as a data scientist in retail domain.
 </li>
 <li>
 Experience/ 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>
 <li>
 Ability to lead teams of experts working in a highly complex 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>
 <li>
 Excellent level of python and spark
 </li>
 <li>
 Excellent level of English
 </li>
 <li>
 Agile/Scrum experience
 </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;
 
 
 &middot; 14 days of welcome leave days even in your first year! Don&rsquo;t postpone your dreams!
 
 
 &middot; We provide self-driven career opportunities where you have never
 
 
 &middot; Personal growth &amp; challenging work with endless opportunities to realize your ambitions
 
 
 &middot; An informal, dynamic environment with innovative colleagues supporting your endeavors
 
 
 &middot; Take a part in global projects and/or career opportunities
 
 
 &middot; Have fun with various communication activities &amp; celebrations
 
 
 &middot; We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)
 
 
 &middot; Private Pension plan for your future dreams
 
</div>

Data Science Team Manager

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

Eureko Sigorta

<div>
 
 
 Job Description
 
 
 
 
 
 
 We are looking for a Data Scientist to join our Data Science team, who is expected to deliver end-to-end artificial intelligence projects. The ideal candidate will analyze business problems, build appropriate datasets, develop models, and transform analytical outcomes into tangible business value.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Analyze business problems with an analytical mindset and develop solution approaches
 </li>
 <li>
 Design and train models for Generative AI, Computer Vision, or Predictive Analytics using image, text, or tabular data
 </li>
 <li>
 Ensure model sustainability by performing accuracy, bias, and drift analyses; prepare models for deployment via APIs or container-based architectures
 </li>
 <li>
 Share and interpret model outputs with business stakeholders
 </li>
 <li>
 Extract, analyze, and validate data using SQL
 </li>
 <li>
 Create documentation for developed models
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Minimum 3&ndash;4 years of experience as a Data Scientist or in a similar role
 </li>
 <li>
 Hands-on experience developing projects using Python-based machine learning and deep learning libraries
 </li>
 <li>
 Experience managing the entire model lifecycle (development &rarr; validation &rarr; deployment &rarr; monitoring) end-to-end
 </li>
 <li>
 Experience integrating models into CI/CD pipelines, managing model versioning (Model Registry), and monitoring model performance in production environments
 </li>
 <li>
 Strong SQL knowledge and experience working with data
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience or knowledge in LLMs (Large Language Models), RAG architectures, fine-tuning processes, or computer vision projects
 </li>
 <li>
 Hands-on experience with MLflow, Airflow, Docker, and Git
 </li>
 <li>
 Experience training and running models on GPU infrastructures
 </li>
 <li>
 Experience working with data in the insurance or financial services sector
 </li>
 <li>
 Proven ability to work closely with business teams and translate analytical outputs into decision-making processes
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Eureko Sigorta&rsquo;da f&inodot;rsat e&scedil;itli&gbreve;i &ouml;nceli&gbreve;imizdir.
 
 
 
 
 T&uuml;m adaylar&inodot;m&inodot;z&inodot; cinsiyet, medeni durum, ya&scedil;, dil, din, &inodot;rk veya siyasi g&ouml;r&uuml;&scedil; gibi &ouml;zelliklerini dikkate almadan, &scedil;irketimizin yetkinlik ihtiya&ccedil;lar&inodot;na g&ouml;re de&gbreve;erlendirip, adil ve e&scedil;it f&inodot;rsat sa&gbreve;layan bir i&scedil;veren olma prensibini benimseriz.
 
 
</div>

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

ING Türkiye

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 If you think you are the ideal candidate for our &ldquo;
 
 Senior Data Scientist- CRM - Product &amp; Channel Analytics
 
 &rdquo; in our
 
 Chief Analytics Officer Group
 
 in
 
 ING Technology.
 
 
 
 If you are willing to work in a global company with flexible hours in casual dress-code every day, and in flexible places two days a week in our Maslak Headquarters, this is a great opportunity to step up.
 
 
 
 
 
 
 As &ldquo;Senior Data Scientist- CRM - Product &amp; Channel Analytics&rdquo;
 
 , You will be responsible for supporting business units with Data Analysis &amp; Data Science for data driven decision making, building analytic models to respond to business needs for customer based marketing &amp; pricing analytic models.
 
 
 
 
 
 
 If you think you have most of the following qualifications;
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline &ndash; Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree will be a plus)
 </li>
 <li>
 5+ Year Experience in Data Analysis &amp; Data Science &amp; AI
 </li>
 <li>
 3+ year Experience in using machine learning algorithms to develop analytical models (Experience in marketing and sales models (propensity, churn, segmentation) , pricing models and GenAI projects are plus)
 </li>
 <li>
 Expert level hands-on experience in the end to end execution of Data Science &amp; AI projects (including project initiation, data preparation, model development, validation, implementation, continuous monitoring , and supporting effective adoption and usage of AI Models)
 </li>
 <li>
 Expert level experience in Data Analysis
 </li>
 <li>
 Knowledge of Python, SQL or SAS
 </li>
 <li>
 Good command in Office Programs
 </li>
 <li>
 Excellent organizational and analytical skills; detail-oriented and forward thinking,
 </li>
 <li>
 Good at communication and coordination, stakeholder management, teamwork, analytical thinking, highly motivated, flexible, adaptable, resilient &amp; result oriented personality,
 </li>
 <li>
 Highly motivated to improve skills on Data Analytics &amp; Data Science
 </li>
 <li>
 Strong command of programming and modelling techniques, problem solving, communication and multi-tasking skills,
 </li>
 <li>
 Good command of written and spoken Turkish &amp; English.
 </li>
 </ul>
 
 
 
 
 
 If you think you may take charge of the following responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transfer capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Develop complex mathematical models; analyze, process, evaluate large data sets
 </li>
 <li>
 Build an in-depth understanding of the business domain and available data assets
 </li>
 <li>
 Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions
 </li>
 <li>
 Work on projects and exchange experiences, and continuously build methodological knowledge and skills
 </li>
 <li>
 Translate complex datasets into key strategy insight
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Senior Data Scientist- CRM - Product & Channel Analytics

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Senior Data Scientist- CRM - Product & Channel Analytics