data scientist

data analyst

data engineer

senior data scientist

lead data scientist

data science lead

<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

<div>
 
 📣We are looking for a
 
 Data Science Manager
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Lead the management of data science projects across the business, contributing both technical expertise and business insight to planning, implementation, and performance tracking of deployed models.
 </li>
 <li>
 Provide day-to-day leadership of the Data Science team, including sprint planning, retrospectives, mentoring, and promoting a culture of continuous improvement and delivery excellence.
 </li>
 <li>
 Translate strategic goals into actionable data science projects and team roadmaps.
 </li>
 <li>
 Oversee the design, development, and deployment of predictive models, including recommendation engines, churn prediction, demand forecasting, and pricing optimization.
 </li>
 <li>
 Promote best practices in model governance, data quality, and reproducibility.
 </li>
 <li>
 Discover and prioritize new use cases where machine learning can drive measurable business impact, such as automating player segmentation or detecting promotional abuse.
 </li>
 <li>
 Partner closely with Data Engineering teams to ensure scalable and reliable model deployment, aligning solutions with the company&rsquo;s data infrastructure and operational flows.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 8+ years of experience in data science or analytics, with at least 3 years managing a team.
 </li>
 <li>
 Proven experience in e-commerce, retail, or digital consumer businesses.
 </li>
 <li>
 Strong knowledge of machine learning, experimentation design, causal inference, and predictive modeling.
 </li>
 <li>
 Knowledge of Python / R and data modeling + experience in AI / ML, service connection skills with IT teams
 </li>
 <li>
 Strategic thinker who can translate business goals into actionable data projects.
 </li>
 <li>
 Passionate about mentoring and developing a high-performing team.
 </li>
 <li>
 Experience with recommendation systems, personalization engines, or large-scale e-commerce platforms.
 </li>
 <li>
 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
</div>

Data Science Manager

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>

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

KoçDigital

<div>
 
 Ko&ccedil;Digital combines the strengths of Ko&ccedil; Holding to support our clients on their most complex digital challenges. Our mission is to deliver sustainable impact, lead with breakthrough insights, and enable organizations through Advanced Analytics and Internet of Things (IoT) solutions, unlocking lasting and tangible benefits for our clients. At Ko&ccedil;Digital, you&rsquo;ll have the opportunity to work with clients across a range of industries, applying cutting-edge analytics to drive practical results and innovations.
 
 
 
 
 
 
 Role Profile
 
 
 
 We are seeking strong candidates with advanced analytics skills to start an exciting career at Ko&ccedil;Digital as part of our Data Science team. This role focuses on building models and conducting data analysis with advanced analytics techniques to provide actionable insights for critical business challenges. You will develop and deploy advanced time series and forecasting models to address key issues in manufacturing and energy, collaborating cross-functionally with domain experts to align solutions with real-world operational needs. As part of our team, you&rsquo;ll be essential to enabling data-driven decision-making and driving operational improvements for our clients.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Time Series &amp; Forecasting Model Development
 
 
 &bull; Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.
 
 
 &bull; Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.
 
 
 &bull; Optimization &amp; Predictive Analytics
 
 
 &bull; Design and implement optimization models using techniques such as linear programming, constraint programming, and evolutionary algorithms to enhance operational outcomes.
 
 
 &bull; Develop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.
 
 
 &bull; Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.
 
 
 &bull; Machine Learning Engineering &amp; Model Deployment
 
 
 &bull; Oversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.
 
 
 &bull; Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.
 
 
 &bull; Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &bull; Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.
 
 
 &bull; Communicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.
 
 
 
 
 
 
 Experience
 
 
 
 
 
 
 &bull; 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
 
 
 &bull; Ph.D. or Master&rsquo;s in Data Science, Statistics, Engineering, Computer Science, or a related field
 
 
 &bull; Proficiency in Python and SQL for data manipulation, analysis, and model development.
 
 
 &bull; Familiarity with database systems, data lakes, and warehousing solutions.
 
 
 &bull; Strong expertise in time series analysis and forecasting techniques (e.g., ARIMA, exponential smoothing, state space models, Prophet, LSTM, RNN-based models) and anomaly detection.
 
 
 &bull; Advanced understanding of optimization techniques (linear programming, constraint programming, stochastic optimization, and evolutionary algorithms) and their application in operational improvements.
 
 
 &bull; Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.
 
 
 &bull; Knowledge of cloud platforms (AWS, Azure, GCP), MLOps tools (MLflow, Kubeflow), and container orchestration (Docker, Kubernetes).
 
 
 &bull; Experience with data pipeline tools (Apache Airflow, Apache Kafka) and big data technologies (Spark, Hadoop) is a plus.
 
 
 &bull; Domain Knowledge
 
 
 &bull; Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.
 
 
 &bull; Knowledge of edge computing and IoT integration for smart factories is a plus.
 
 
 &bull; Analytical &amp; Business Acumen
 
 
 &bull; Strong understanding of business processes and the application of advanced analytics to solve industry-specific problems.
 
 
 &bull; Excellent verbal and written communication skills in English.
 
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 &bull;
 
 Impactful Work
 
 : Contribute directly to optimizing production, reducing waste, and improving efficiency in large-scale manufacturing and energy operations.
 
 
 &bull;
 
 Innovative Environment:
 
 Be part of a team that values innovation and adopts the latest data science and machine learning technologies.
 
 
 
 &bull; Professional Growth:
 
 Access to continuous learning and development opportunities, including industry conferences and technical workshops.
 
 
 
 
 
 
 What we offer:
 
 
 
 
 
 <ul>
 <li>
 Akademi Plus - Technical and Personal Development Trainings
 </li>
 <li>
 Ko&ccedil; Group and internal career opportunities/rotations
 </li>
 <li>
 On-campus sports center and Ko&ccedil; Community Sports Club opportunities
 </li>
 <li>
 Flextra - Flexible benefits package
 </li>
 <li>
 Social Support Payments
 </li>
 <li>
 Mobile phone and internet
 </li>
 <li>
 TokenFlex digital meal card
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 The privileged world of being a Ko&ccedil; member with Ko&ccedil; Ailem, Ko&ccedil; Akademi, and Ko&ccedil; Healthcare
 </li>
 </ul>
 
 
 
</div>

Senior Data Scientist (Manufacturing Focused)

Explore 1151+ Data science lead in Istanbul this December. Find roles across top companies and apply now to boost your career.

1151 data science lead jobs IN Istanbul

Chapter Lead Data Scientist

Data Science Manager

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Data Science Team Manager

Senior Data Scientist (Manufacturing Focused)