data scientist

data analyst

senior data analyst

senior data scientist

accounting professionals

data science professionals

Trendyol

<div><div><div><b>ABOUT THE TEAM</b></div><div>
Trendyol Pay is where cutting-edge payment technology meets seamless user experience. This team designs and manages end-to-end payment solutions for millions of users across the globe. Trendyol Pay is focused on building secure, fast, and reliable payment infrastructure not just for today&rsquo;s needs, but for the future of digital commerce.</div><div></div><div><br>
We simplify every transaction and elevate user confidence through technology-driven, customer-first design.</div></div><br>
<div></div>
<div><div><h3 class="jobSectionHeader"><b>
Responsibilites</b></h3><ul><li><ul><li>
Work at the intersection of finance, data, and machine learning; developing models that power credit decisions, risk analysis, personalization, fraud detection, and other core Fintech features.</li><li>
Analyze large-scale structured and unstructured data from multiple sources</li><li>
Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize model performance.</li><li>
Execute A/B experiments, reach conclusions statistically and build upon learnings continously.</li><li>
Collaborate with product, engineering, and risk teams to translate business challenges into data science problems.</li><li>
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions</li><li>
Synthesize methodology and data into actionable business strategy and communicate findings to engineering and management teams as driving business impact</li><li>
While the role focuses on data science, we value a hands-on mindset across analytics, reporting, and data-driven decision making.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Experience in applied data science and a wide range of data science stack of algorithms and models. Knowledge about fintech domain is a big plus.</li><li>
Good knowledge of python or other programming language. Experience in one or more of the libraries such as scikit-learn, Pytorch and TensorFlow is a plus.</li><li>
Good knowledge of SQL and familiarity with best practices.</li><li>
Strong analytical skills with a data driven approach.</li><li>
Excellent written and verbal communication skills in English.</li><li>
The experience range for this position is suitable for specialist/senior specialist roles.</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><div></div><div><b><br>
A hybrid working model with flexibility &mdash;</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.</div><div><b>
A customizable FlexBenefits budget &mdash;</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.</div><div><b>
Comprehensive wellbeing support &mdash; </b>Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.</div><div><b>
Personalized training allowance and learning opportunities &mdash;</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.</div><div><b>
Responsibility from day one &mdash; </b>Take full ownership from the start in a culture where every voice is heard and valued.</div><div><b>
A diverse, international team &mdash; </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</div><div><b>
Opportunities to grow with the best &mdash;</b> Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</div><div><b>
Meaningful connections beyond tasks &mdash;</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</div><div></div><div><b><br>
Take the Next Step</b></div><div></div><div><br>
If this role excites you, apply now and let&rsquo;s take the next step together.</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>

Data Science Professionals

NewMind AI

<div><p><b>I - Who We Are?</b></p><p>
NewMind AI is an innovative and pioneering company specializing in leveraging big data through a comprehensive and holistic approach. From data digitization and classification to deriving meaningful insights and extracting actionable outputs, we employ advanced taxonomies and ontologies to organize data in a structured and insightful manner, creating a semantic layer to better understand corporate data. Our mission extends beyond mere data structuring; we empower companies to transform their data into actionable insights, facilitating dynamic corporate governance.</p><p>
With over 300 task-oriented and domain-specific AI models, built using an orchestration of experts framework, we provide robust solutions for dynamic corporate governance. By implementing dynamic knowledge network structures, we develop advanced AI models that ensure effective management of corporate data in the business world. Our expertise spans AI-driven business solutions, including AI legal tech products, excelling in natural language processing, deep learning, machine learning, data analysis, and data visualization.</p><p>
Headquartered in YT&Uuml; Teknopark, Maslak, Istanbul, and operating four specialized laboratories&mdash;Data Visualization Lab in India, Data Taxonomy Lab in Bomonti, and Big Data and Legal Tech Labs in Maslak&mdash;we are leaders in big data analysis in T&uuml;rkiye and beyond. Our flagship dynamic knowledge management platforms, Mecellem, Malumat, and Mahfuz, empower professionals across various industries by streamlining complex tasks, optimizing decision-making, and managing business risks with precision.</p><p>
Through our cutting-edge AI tools, including Generative AI, LLMs, text-to-speech and speech-to-text, image recognition, voice recognition, function call, graphRAG, OCR, blockchain and RAG, we set new standards in business technology. We deliver smarter, more dynamic solutions for the business world, both in T&uuml;rkiye and internationally.</p><p></p><p><b><br>
II - Who We Are Looking For?</b></p><p>
We are seeking a highly skilled and experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in data science, statistical analysis, and machine learning, with a proven track record of developing and deploying data-driven solutions. This role requires a deep understanding of data analysis techniques, statistical methods, and proficiency in relevant programming languages and tools. Demonstrates the ability to switch between multiple concurrent projects while staying focused and productive, and quickly learns and adapts to new tools and technologies as needed.</p><p></p><p><b><br>
III - What Will Be Your Responsibilities?</b></p><p><b>
(i)</b> Develop and deploy advanced data science models and algorithms to solve complex business problems. <b>(ii)</b> Perform in-depth data analysis to extract insights, identify trends, and inform strategic decisions. <b>(iii)</b> Collaborate with cross-functional teams to translate business requirements into data science solutions. <b>(iv) </b>Stay up-to-date with the latest advancements in data science and machine learning fields. <b>(v)</b> Optimize existing models and analytical processes for improved performance and efficiency. <b>(vi)</b> Implement code quality and continuous integration best practices to ensure robust and reliable solutions.</p><p></p><p><b><br>
IV - What Is Required from You?</b></p><p><b>
(i) Qualifications:</b> Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Master's or PhD degree is a plus. <b>(ii) Experience:</b> 5+ years in data science, leading data-focused teams and deploying complex models and predictive analytics. <b>(iii) Expertise:</b> Deep expertise in Python and R, including advanced proficiency with key data science libraries such as pandas, NumPy, scikit-learn, and PyTorch; expertise in statistical analysis, machine learning algorithms, and data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn); proficient in end-to-end model lifecycle management: data analysis, preprocessing, training, validation of GenAI models, and containerization (Docker); experience with big data technologies (e.g., Hadoop, Spark) and advanced database proficiency (NoSQL/SQL). <b>(iv) Knowledge:</b> Expertise in database technologies, with advanced proficiency in at least one of NoSQL (e.g., Elasticsearch, MongoDB) or SQL (e.g., Postgres, MySQL) for complex data analysis. <b>(v) Skills:</b> Self-motivated, organized, proactive, and flexible, with strong leadership and project management skills. <b>(vi) Language:</b> Fluent in Turkish and English (written and spoken) for effective communication with international teams and clients. <b>(vii) Competencies:</b> Exceptional analytical and problem-solving skills; ability to conduct comprehensive error analysis and refine models; excellent communication and collaboration skills, with the ability to convey complex technical findings to both technical and non-technical stakeholders through clear visualizations, insightful reports, and compelling presentations; proven ability to work independently and lead cross-functional teams; strong business acumen to deliver actionable insights aligned with organizational goals; experience proactively monitoring model drift and assessing data quality to ensure reliability, fairness, and consistency in production systems; commitment to self-driven learning and adaptability to company-specific contexts.</p><p></p><p><b><br>
V - Why Work at NewMind AI?</b></p><p>
NewMind AI offers a unique opportunity for ambitious young professionals seeking to make a real impact in the rapidly growing field of AI. As a company at the forefront of AI innovation, we are driven by a strong mission to empower businesses with actionable insights derived from data. This translates to a dynamic and stimulating work environment where you will be challenged to think critically, develop your skills, and contribute to groundbreaking projects. Here are some key reasons why NewMind AI is an ideal place for young talent: (i) be a part of something bigger: Our work goes beyond simply developing AI models. We are shaping the future of business and helping organizations navigate the complex world of data-driven decision-making; (ii) work with leading experts: You will be surrounded by a team of passionate and knowledgeable individuals who are experts in their fields. This collaborative environment fosters continuous learning and growth; (iii) gain valuable experience: You will have the opportunity to work on diverse projects, utilizing cutting-edge AI tools and technologies, including Generative AI, LLMs, and more; (iv) make a real difference: Your contributions will directly impact our company's growth and success, contributing to the advancement of AI technology and its positive impact on the world; (v) global reach: As a company with a global presence, you will be exposed to a diverse range of perspectives and opportunities to work with clients and partners from around the world; (vi) invest in your future: NewMind AI is committed to supporting its employees' professional development and offers opportunities for growth within the company. Engage with open-source AI innovation: Monitor and participate in upstream open-source AI/ML communities, evaluate emerging AI/ML technologies, and explore opportunities for integration and collaboration. You&rsquo;ll also have the chance to actively contribute to the development of open-source projects, reinforcing your expertise while advancing innovation across the ecosystem.</p><p></p><p><br>
If you are a driven and ambitious young professional eager to make your mark in the world of AI, NewMind AI is the place for you.</p></div>

Senior Data Scientist

Skm Group

<p>We are seeking a highly skilled and visionary <b>Data Tech Lead / Architect</b> to join our dynamic team. This role is ideal for professionals who possess a hybrid skill set of software engineering and data science, and are passionate about building intelligent systems. The ideal candidate will serve as a thought leader, overseeing operations, delegating tasks, and driving innovation in AI-driven applications.</p><p><b>Key Responsibilities:</b></p><ul><li>Lead the design and architecture of data systems and AI solutions.</li><li>Oversee and coordinate a team of software engineers and data scientists.</li><li>Implement and manage agent orchestration using the Agentic Framework.</li><li>Explore and evaluate different system architectures for optimal performance.</li><li>Contribute to ranking and reranking processes in AI models.</li><li>Conduct performance analysis of Python within large-scale applications.</li><li>Utilize tools such as LangGraph and CrewAI for system development and orchestration.</li><li>Ensure the scalability, reliability, and efficiency of data-driven applications.</li><li>Identify and implement AI spots for replacement to enhance automation and efficiency.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Proven experience as a Data Architect, Tech Lead, or similar role.</li><li>Strong proficiency in Python and experience with the Agentic Framework.</li><li>Hands-on experience with LangGraph and CrewAI.</li><li>Solid understanding of agent orchestration and AI model evaluation techniques.</li><li>Background in building and deploying real-world applications.</li><li>Strong software development foundation with a focus on scalable system design.</li><li>Excellent leadership, communication, and project management skills.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Advanced degree in Computer Science, Data Science, or a related field.</li><li>Experience in leading cross-functional teams and managing complex projects.</li><li>Familiarity with emerging AI technologies and frameworks.</li></ul><p><b>Opportunities:</b></p><ul><li>Be at the forefront of AI innovation by identifying and implementing AI replacements in existing workflows.</li><li>Influence the strategic direction of AI and data initiatives within the organization.</li></ul><p><b>What do we offer you?</b></p><ul><li>Attractive salary</li><li>Large freedom and real influence</li><li>No unhealthy competition, team approach to meeting challenges</li><li>Remote-first, flexible working culture</li><li>Company apartments in cool cities across Europe: work and enjoy a memorable getaway</li></ul><p><b>About Us</b></p><p>We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions &mdash; always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.</p><p>Job Type: Full-time</p><p>Pay: Up to 300,000.00TRY per month</p><p>Experience:</p><ul><li>IT: 7 years (Required)</li><li>Python: 3 years (Required)</li><li>Tech Lead / Data Architect: 3 years (Required)</li></ul>

Data Tech Lead / Architect [J201]

ING Hubs Türkiye

<div>
 <p>
  <strong>
   About ING Hubs
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
 </p>
 <p>
  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.
 </p>
 <p>
 </p>
 <p>
  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.
 </p>
 <p>
 </p>
 <p>
  𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 </p>
 <p>
  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.
 </p>
 <p>
  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!
 </p>
 <p>
 </p>
 <p>
  <strong>
   ING Analytics
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Roles and responsibilities
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Role Profile
  </strong>
 </p>
 <p>
  As Chapter Lead Data Science, you report to the Tribe Lead Retail Banking Analytics.
 </p>
 <p>
 </p>
 <p>
  <u>
   Your responsibilities include:
  </u>
 </p>
 <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>
 <p>
 </p>
 <p>
  <strong>
   How to succeed
  </strong>
 </p>
 <p>
 </p>
 <p>
  <u>
   Education:
  </u>
  Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
 </p>
 <p>
  <u>
   Experience:
  </u>
 </p>
 <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>
 <p>
  <u>
   Competencies:
  </u>
 </p>
 <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>
 <p>
 </p>
 <p>
  <strong>
   What do we offer:
  </strong>
 </p>
 <p>
  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;
 </p>
 <p>
  At our organization, you first be yourself, then you are ING&rsquo;er, therefore;
 </p>
 <p>
  &middot; 14 days of welcome leave days even in your first year! Don&rsquo;t postpone your dreams!
 </p>
 <p>
  &middot; We provide self-driven career opportunities where you have never
 </p>
 <p>
  &middot; Personal growth &amp; challenging work with endless opportunities to realize your ambitions
 </p>
 <p>
  &middot; An informal, dynamic environment with innovative colleagues supporting your endeavors
 </p>
 <p>
  &middot; Take a part in global projects and/or career opportunities
 </p>
 <p>
  &middot; Have fun with various communication activities &amp; celebrations
 </p>
 <p>
  &middot; We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)
 </p>
 <p>
  &middot; Private Pension plan for your future dreams
 </p>
</div>


Chapter Lead Data Scientist

Odeabank

<div>
 <p>
  <strong>
   Advanced Analytics and Data Science - Senior Specialist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re Hiring: Advanced Analytics and Data Science Team
 </p>
 <p>
  Are you ready to bring your data science expertise into a fast-paced, agile, and impact-driven environment? We&rsquo;re looking for a Senior Data Scientist to join our growing Advanced Analytics and Data Science (CoE) team &mdash;where you&rsquo;ll work on end-to-end data science projects that directly shape the future of our business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As part of the CoE, you'll collaborate across diverse domains including finance, marketing, operations, credit risk, and AI applications. Our projects are fast-moving and solution-oriented, often launched from scratch and built into production in weeks. You'll have the chance to work with top-tier talent, develop scalable solutions, and present your work to senior leadership &mdash; driving real business impact at every step.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Be Doing:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead and contribute to end-to-end data science projects: from business understanding to model deployment
  </li>
  <li>
   Design, prototype, and implement machine learning and AI solutions using Python
  </li>
  <li>
   Collaborate with cross-functional teams in finance, marketing, risk, and operations to deliver actionable insights
  </li>
  <li>
   Translate business problems into data science opportunities
  </li>
  <li>
   Ensure high code quality through version control (Git), code reviews, and adherence to software development best practices
  </li>
  <li>
   Query and manipulate data using SQL and manage workflows using bash and automation tools
  </li>
  <li>
   Contribute to CI/CD pipelines for ML/AI deployment
  </li>
  <li>
   Communicate findings effectively to technical and non-technical stakeholders, including senior leadership
  </li>
  <li>
   Stay up-to-date with the latest developments in AI, ML, and data science tools
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;re Looking For:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a STEM field, Economics, or Finance
  </li>
  <li>
   3+ years of relevant experience in data science, advanced analytics, or applied ML
  </li>
  <li>
   Expertise in Python and common data science libraries (pandas, scikit-learn, etc.)
  </li>
  <li>
   Strong knowledge of relational databases and fluency in SQL
  </li>
  <li>
   Hands-on experience with ML and AI algorithms
  </li>
  <li>
   Exposure to bash scripting and workflow automation
  </li>
  <li>
   Experience working in agile teams
  </li>
  <li>
   Familiarity with Git and collaboration tools
  </li>
  <li>
   Strong understanding of software development best practices
  </li>
  <li>
   Exposure to CI/CD practices for data science or ML pipelines
  </li>
  <li>
   Excellent communication and problem-solving skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Ready to take the next step in your data science journey? Apply now and be part of a collaborative, high-impact team where your work matters from day one.
 </p>
 <p>
 </p>
</div>


Advanced Analytics and Data Science - Senior Specialist

Gram Games

<div><div><p><b>Who We Are:
</b></p><p>Gram Games is the studio behind popular titles like 1010!, Six!, Merge Dragons!, and Merge Magic!, with more exciting projects in the pipeline. We are proudly part of the Zynga &amp; Take-Two Interactive family. We do things differently here: we work in small self-managing teams, giving you an incredible amount of ownership, autonomy, and impact.</p>
<p>
At Gram, everyone is expected to have a razor-sharp focus on creating a tangible impact on their team, their work environment, and on the overall company strategy. If you are motivated by autonomy, constant improvement, collaboration, and a sense of belonging, this is the place for you.</p></div><h4 class="jobSectionHeader"><b>
Position Overview:</b></h4>
<p>
As a Principal Data Analyst, you will play a key leadership role in driving Gram Games' data-driven culture and strategy. You will lead a team of data professionals while serving as a technical authority across the organization. Working closely with product teams, marketing team, and executive leadership, you'll develop innovative analytics solutions, establish data strategy frameworks, and create advanced predictive models that directly impact product performance, player experience, and business growth. Your expertise will influence critical decision-making at all levels and help shape the future of our games.</p>
<h4 class="jobSectionHeader"><b>
What You'll Do:</b></h4>
<ul><li>Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and fostering collaboration across teams</li>
<li>Define and implement our data strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio</li>
<li>Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization</li>
<li>Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis, and LTV prediction</li>
<li>Design and oversee complex A/B testing frameworks to evaluate game features, marketing campaigns, and monetization strategies, monitoring results and delivering actionable recommendations</li>
<li>Translate complex technical concepts and analytical findings into clear, compelling narratives that drive strategic decisions at the executive level</li>
<li>Collaborate with engineering teams to implement data solutions in production environments and ensure data infrastructure meets the needs of data initiatives</li>
<li>Stay at the forefront of analytics advancements, evaluating new methodologies and technologies to maintain competitive advantage</li>
<li>Serve as the data authority in strategic planning sessions, using your expertise to influence product roadmaps and business strategy</li>
<li>Build strong relationships with key stakeholders across the organization to understand their needs and ensure analytics initiatives deliver measurable business impact</li>
</ul><h4 class="jobSectionHeader"><b>What You Bring:</b></h4>
<ul><li>Genuine passion for video games and a deep understanding of the mobile gaming industry</li>
<li>5+ years of experience in analytics, with at least 2 years in a senior role, preferably in gaming or a similar digital product company</li>
<li>Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field</li>
<li>Expert knowledge of statistics, machine learning, and causal inference techniques with demonstrated ability to apply them to real-world business problems</li>
<li>Mastery of programming languages such as Python and SQL, with experience building production-level data science applications</li>
<li>Proven track record of leading successful analytics initiatives that delivered significant business impact</li>
<li>Experience with big data technologies and cloud platforms (AWS, Snowflake, etc.)</li>
<li>Strong project management skills with ability to prioritize, manage resources, and deliver complex projects on time</li>
<li>Exceptional communication skills with the ability to present complex findings to both technical and non-technical audiences</li>
<li>Deep understanding of performance marketing in mobile games, including user acquisition strategies, marketing attribution, ROAS optimization, and LTV modeling</li>
<li>Demonstrated leadership abilities, including mentoring data professionals and influencing cross-functional stakeholders</li>
<li>Strategic thinking with the ability to connect data insights to business objectives and drive organizational change</li>
<li>Experience with game analytics, player behavior modeling, and free-to-play monetization strategies is highly desirable</li>
</ul><div><p>
We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic &ndash; not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.</p>
<p>
As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at jobs@gram.gs to request any accommodations or for support related to your application for an open position.</p>
<p>
Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga's in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).</p></div></div>

Principal Data Analyst

European Institute of Policy Research and Human Rights SRFP Section

<div>
 The
 <strong>
  European Institute of Policy Research and Human Rights
 </strong>
 is a prestigious institution that offers cutting-edge online programs designed to educate future leaders in policy research, human rights, and related disciplines. Our mission is to deliver world-class skill enhancing programs to candidates globally, equipping them with the knowledge and skills to influence policy and drive positive change in their communities.
 <br/>
 <br/>
 Applications are invited for
 <strong>
  Senior Research Fellowship
 </strong>
 (for candidates enrolled / passed Masters / Doctoral in any discipline).
 <br/>
 <br/>
 <strong>
  Program Overview
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Learn and follow our methodology to draft research paper in one of the researchable areas. (No prior experience in research paper writing is required, Candidates will receive comprehensive mentorship and guidance throughout the process / tenure.) Program Certification fee of Eur498 is applicable. As a Certified Senior Research Fellow is a significant achievement a valuable addition to your CV that can impress future employers, universities, or scholarship committees. It helps set you apart with a unique edge.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Learn and Lead Groundbreaking Research: Know how to Tackle important policy issues and devise groundbreaking solutions.
  </li>
  <li>
   Collaborate with Experts
  </li>
  <li>
   Strategic Analysis: Utilize data to create influential policy recommendations.
  </li>
  <li>
   Publish &amp; Impact: Contribute your findings to esteemed academic and policy publications.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Candidate will be choosing one of the researchable research areas for their research.
 <br/>
 <br/>
 Research papers produced by candidates will be published with a Digital Object Identifier (DOI), ensuring the work is uniquely identifiable and accessible through our open-source publication portal.
 <br/>
 <br/>
 <strong>
  Eligibility Criteria / Who Can Apply:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Open to candidates who are currently enrolled in or have completed a Masters or Doctoral program. Candidates enrolled or passed Bachelor degree but not enrolled in Masters are not eligible to apply.
  </li>
  <li>
   Applicants from all academic disciplines are welcome, including but not limited to Law, Human Rights, International Relations, Management, Political Science, Social Sciences, Engineering, Medicine, Business, and related fields.
  </li>
  <li>
   Working / non working professionals in any sector are encouraged to apply. This includes lecturers, professors, advocates, medical professionals, journalists, engineers, historians, managers, environmental scientists, government officials, social activists, and those involved in politics or any relevant field.
  </li>
  <li>
   Candidates must demonstrate the ability to work independently in a virtual environment and effectively meet deadlines.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How To Apply
  <br/>
  <br/>
 </strong>
 Interested candidates should submit their updated CV.
 <br/>
 <br/>
 Shortlisted candidates will be contacted with complete details.
</div>


(SRFP) Research Fellow Sr.( Code-063)

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