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data analyst (genai)

lead data scientist

Vertigo

<div>We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150+ million fans worldwide!
Check out our smash-hit games:<ul><li>Critical Strike</li><li>Polygun Arena</li></ul>
Now, we're looking for a passionate Lead Data Scientist to join our dynamic team in Istanbul. This is an on-site role in Istanbul, Levent. This is an on-site role, where you will be working 5 days a week from our office in Levent. 
 
In this role, we deeply care about your passion for data-driven insights in gaming. We highly encourage you to get familiar with both of our games before you apply and complete your application only if you're genuinely excited to explore their player behavior, in-game metrics, and performance trends to uncover meaningful insights that can drive better decisions.
Requirements<ul>
<li>
Highly proficient in SQL and Python.</li>
<li>Minimum of 3 years of hands-on data science experience in a tech companies preferably within a mobile game company.</li>
<li>Experienced in managing data within cloud warehousing environments such as BigQuery etc.</li>
<li>Excellent communication and collaboration skills to work effectively with cross-functional teams.</li>
<li>Passion and interest for mobile gaming industry trends and user behavior is a plus.</li>
</ul>
Responsibilities 
<ul>
<li>
Interpret large datasets to provide actionable insights that shape product roadmaps and strategy</li>
<li>Collaborate with engineers to optimize data pipelines, warehouses, and the overall data architecture.</li>
<li>Conduct exploratory analysis and A/B testing to identify product gaps and seize growth opportunities</li>
<li>Develop visualization suites (dashboards, reports)</li>
</ul>
Benefits<ul><li>
A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver.</li></ul><ul>
<li>Meal Allowance: Enough for a solid, satisfying meal.</li>
<li>Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever.</li>
<li>Private Health Insurance: Complementary private health insurance so you can get care without second thoughts.</li>
<li>Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job.</li>
<li>Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us.</li>
<li>Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us.</li>
<li>Referral Bonus: Introduce great talent to the team and earn a reward when they join.</li>
<li>Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution.</li>
</ul><ul><li>A Culture Built Around Players &amp; Ownership: Curious, collaborative, and focused. We&rsquo;re here to build great games together.</li>
<li>A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the &quot;zone&quot;.</li>
</ul><ul><li>Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind.</li>
<li>Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year.</li></ul></div>

Lead Data Scientist

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

Chapter Lead Data Scientist

PlusMinusOne

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

Data Scientist

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

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>

Peak

<div>
 
 We are looking for a Data Scientist who is passionate about using data to solve challenging problems. As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to drive strategic decisions and develop innovative solutions. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders.
 
 
 
 
 
 If you are a motivated and data-driven individual with a passion for gaming, join our team to help our games thrive in an exciting global industry!
 
 
 
 
 
 
 Here's what you&rsquo;ll do
 
 
 
 
 
 <ul>
 <li>
 Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights
 </li>
 <li>
 Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines
 </li>
 <li>
 Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps
 </li>
 <li>
 Work closely with product teams to model, simulate, and help fine-tune the game&rsquo;s internal economy
 </li>
 <li>
 Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing teams to make data-informed decisions: dashboards, reports, ad-hoc analysis and insightful observations
 </li>
 <li>
 Collaborate with different teams to drive, implement and analyze A/B testing results
 </li>
 <li>
 Develop and maintain our player segmentation tool
 </li>
 <li>
 Build predictive models using machine learning algorithms
 </li>
 <li>
 Stay up-to-date with industry trends, best practices, and new tools and techniques in data analysis &amp; data science
 </li>
 <li>
 Work with our tech stack:
 
 (dbt (Python, SQL), Snowflake, Looker, Hex, Streamlit, Airflow)
 
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experiences
 
 
 
 
 
 <ul>
 <li>
 University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
 </li>
 <li>
 Minimum of 1 year of hands-on data science experience in a tech companies
 </li>
 <li>
 Strong knowledge of SQL and Python; excited to learn new languages when needed
 </li>
 <li>
 Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus
 </li>
 <li>
 Passion for mobile casual games
 </li>
 <li>
 Excellent attention to detail, natural curiosity and ability for creative problem-solving
 </li>
 <li>
 Strong written and oral communication skills
 </li>
 <li>
 Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Areas in which you'll continue to grow
 
 
 
 
 
 <ul>
 <li>
 Proficiency in extracting, processing and modeling huge amounts of data
 </li>
 <li>
 Working with one of the richest and largest datasets of the technology industry
 </li>
 <li>
 Proficiency in data analytics, data science and visualization tools
 </li>
 <li>
 Ability to initiate, support and improve product &amp; marketing decisions thanks to the evolving role of data in a fully data-driven environment
 </li>
 </ul>
</div>

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