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data scientist / senior data scientist

chapter lead data scientist

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.
 
 
 
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
 
 
 
 
 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 
 
 ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
 
 
 We value strong work ethics, knowledge sharing and flexibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!
 
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of several Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics). as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 Roles and responsibilities
 
 
 
 As a Chapter Lead you have a dual role. You build a strong-identity team that apply their diverse skills and perspectives to achieve common goals, actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship, in this instance for Advanced Analytics. On the other hand, you are spending the majority of your time working together with your team as a contributor on the delivery as well. As a Chapter Lead you have the complete overview and insight on the capabilities, expertise and experience of your chapter members and you will be responsible to decide on allocation of your chapter members capacity for the global backlog delivery demand coming from the Product Lead and Tribe Lead.
 
 
 
 
 
 
 Role Profile
 
 
 
 As Chapter Lead Data Science, you report to the Tribe Lead Retail Banking Analytics.
 
 
 
 
 
 
 Your responsibilities include:
 
 
 <ul>
 <li>
 Together with the Tribe Lead and Product Lead develop a view on the future of the DS capability craftsmanship and drive continues development of your chapter members
 </li>
 <li>
 Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
 </li>
 <li>
 Together with the Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities
 </li>
 <li>
 Steer and develop your chapter members to meet both their career goals and the organisation&rsquo;s goals, driving engagement and results via inspiring leadership.
 </li>
 <li>
 Contribute to the success of the projects you are assigned to by doing hands-on data scientist work.
 </li>
 <li>
 Hands-on and multiple retail DS project management in lending, personalization and pricing domains
 </li>
 <li>
 Act as an expert on the craftmanship development needs for Data Science
 </li>
 <li>
 Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these
 </li>
 <li>
 Work with your colleagues on the (global) backlog deliveries
 </li>
 <li>
 Attract and retain the best talents, leading interviews when needed for your chapter
 </li>
 </ul>
 
 
 
 
 
 How to succeed
 
 
 
 
 Education:
 
 Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Management experience in an Agile organization. Management experience in a matrix set up is a plus.
 </li>
 <li>
 Strong analytic skills.
 </li>
 <li>
 Experience as a data scientist in retail domain.
 </li>
 <li>
 Experience/ knowledge of the business of the Tribe you work in.
 </li>
 </ul>
 
 
 Competencies:
 
 
 <ul>
 <li>
 A proven track record in analytics, backlog management and resource planning
 </li>
 <li>
 Ability to lead teams of experts working in a highly complex and dynamic environment promoting awareness in others
 </li>
 <li>
 Achieve optimum results by empowering teams
 </li>
 <li>
 Passionate about developing teams to achieve craftmanship and personal development.
 </li>
 <li>
 A mindset that focusses on continuous improvement.
 </li>
 <li>
 Excellent level of python and spark
 </li>
 <li>
 Excellent level of English
 </li>
 <li>
 Agile/Scrum experience
 </li>
 </ul>
 
 
 
 
 
 What do we offer:
 
 
 
 At ING Hubs Turkiye we want your work to fulfill you in every way, and that is why we take care of even the smallest detail. Check out what is waiting for you;
 
 
 At our organization, you first be yourself, then you are ING&rsquo;er, therefore;
 
 
 &middot; 14 days of welcome leave days even in your first year! Don&rsquo;t postpone your dreams!
 
 
 &middot; We provide self-driven career opportunities where you have never
 
 
 &middot; Personal growth &amp; challenging work with endless opportunities to realize your ambitions
 
 
 &middot; An informal, dynamic environment with innovative colleagues supporting your endeavors
 
 
 &middot; Take a part in global projects and/or career opportunities
 
 
 &middot; Have fun with various communication activities &amp; celebrations
 
 
 &middot; We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)
 
 
 &middot; Private Pension plan for your future dreams
 
</div>

Chapter Lead Data Scientist

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>

Data Scientist

Bilyoner

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

Senior Data Scientist

H2O United

<div>
 
 
 Creative Scientist
 
 
 
 
 
 
 Ekibimize yarat&inodot;c&inodot; zek&acirc;y&inodot; veriyle birle&scedil;tiren, hem analitik hem sezgisel ilerleyebilen, trendleri koklay&inodot;p performans&inodot; &ccedil;&ouml;zebilen bir &ldquo;Creative Scientist&rdquo; ar&inodot;yoruz. Bu rol, AI ara&ccedil;lar&inodot;n&inodot; aktif kullanarak hem veri hem yarat&inodot;c&inodot; i&ccedil;g&ouml;r&uuml; &uuml;retimini h&inodot;zland&inodot;racak; ekiplerimizin creative stratejilerini g&uuml;&ccedil;lendirecek.
 
 
 
 
 
 
 Bu rolde ne yapacaks&inodot;n?
 
 
 
 
 
 
 
 1) Creative Meta-Analysis (Derin Yarat&inodot;c&inodot; Analiz)
 
 
 
 
 
 
 Farkl&inodot; vertical, KPI ve hedef kitle eksenlerinde creative analiz modelleri kurmak.
 
 
 Temsil g&uuml;c&uuml; y&uuml;ksek sample&rsquo;lar se&ccedil;mek, do&gbreve;ru kar&scedil;&inodot;la&scedil;t&inodot;rma setlerini olu&scedil;turmak.
 
 
 Sezonsal momentlere g&ouml;re creative davran&inodot;&scedil;&inodot;n&inodot; modellemek.
 
 
 AI ile birlikte &ccedil;al&inodot;&scedil;arak insight &ccedil;&inodot;kar&inodot;m&inodot;n&inodot; h&inodot;zland&inodot;rmak (labeling, hipotez geli&scedil;tirme, pattern detection).
 
 
 
 
 
 
 2) Creative Level Performance Reporting &amp; Data Visualisation
 
 
 
 
 
 
 Markalara ayl&inodot;k/&ccedil;eyreklik performans raporlar&inodot; haz&inodot;rlamak.
 
 
 Medya ajanslar&inodot;yla &ccedil;al&inodot;&scedil;arak en iyi / en k&ouml;t&uuml; &ccedil;al&inodot;&scedil;an yarat&inodot;c&inodot;lar&inodot; belirlemek, creative fatigue noktalar&inodot;n&inodot; tespit etmek.
 
 
 Looker Studio, Excel, Notion, Figma vb. ara&ccedil;larla hik&acirc;ye anlatan basit ve etkili g&ouml;rseller &uuml;retmek.
 
 
 
 
 
 
 3) Creative Testing
 
 
 
 
 
 
 A/B test setuplar&inodot;n&inodot; planlamak (hangi KPI i&ccedil;in hangi b&uuml;t&ccedil;e gerekir, hangi hipotez test edilir?).
 
 
 Test sonu&ccedil;lar&inodot;n&inodot; objektif ve h&inodot;zl&inodot; &scedil;ekilde yorumlamak.
 
 
 Gerekti&gbreve;inde &ldquo;creative + data&rdquo; aras&inodot;nda k&ouml;pr&uuml; olmak.
 
 
 
 
 
 
 4) AI Destekli Analitik &amp; Otomasyon
 
 
 
 
 
 
 ChatGPT, Claude, Perplexity gibi ara&ccedil;lar&inodot; aktif kullanarak:
 
 
 Rapor otomasyonu
 
 
 Creative labeling
 
 
 Insight &ccedil;&inodot;kar&inodot;m&inodot;
 
 
 Benchmarking s&uuml;re&ccedil;lerini h&inodot;zland&inodot;rmak.
 
 
 
 
 
 
 5) Ekip &Idot;&ccedil;i K&ouml;pr&uuml; G&ouml;revi
 
 
 
 
 
 
 Creative, strateji, medya ve m&uuml;&scedil;teri ekipleri aras&inodot;nda ak&inodot;c&inodot; ileti&scedil;im sa&gbreve;lamak.
 
 
 Teknik dili kreatif ki&scedil;ilere, kreatif i&ccedil;g&ouml;r&uuml;leri teknik ekiplere sade &scedil;ekilde aktarabilmek.
 
 
 
 
 
 
 Kimi ar&inodot;yoruz?
 
 
 
 
 
 
 Ajans ya da markada strateji/dijital pazarlama alanlar&inodot;nda tecr&uuml;be edinmi&scedil;.
 
 
 Veriye bak&inodot;nca hik&acirc;ye g&ouml;ren, yarat&inodot;c&inodot; taraf&inodot; g&uuml;&ccedil;l&uuml; ki&scedil;iler.
 
 
 Excel/Sheets, dashboard, g&ouml;rselle&scedil;tirme ara&ccedil;lar&inodot;nda rahat.
 
 
 Generative AI ara&ccedil;lar&inodot;n&inodot; i&scedil; ak&inodot;&scedil;&inodot;n&inodot;n do&gbreve;al par&ccedil;as&inodot; gibi kullanan.
 
 
 Mant&inodot;ksal model kurabilen, hipotez geli&scedil;tirebilen, test edebilen.
 
 
 Birden fazla projeyi ayn&inodot; anda y&ouml;netebilecek d&uuml;zen.
 
 
 Analitik merak&inodot; olan; matematik, istatistik ya da pazarlama bilimiyle akrabal&inodot;&gbreve;&inodot; bulunan.
 
 
 Yo&gbreve;un bilgi trafi&gbreve;i aras&inodot;nda kaybolmadan net &uuml;retim yapabilen adaylar&inodot; ar&inodot;yoruz.
 
 
 
 
 
 &Ouml;zel sa&gbreve;l&inodot;k sigortas&inodot;, performans primi, do&gbreve;umg&uuml;n&uuml; izni, happy hourlar, &scedil;irket e&gbreve;itimleri gibi farkl&inodot; imkanlar sunuyoruz. Haftan&inodot;n iki g&uuml;n&uuml; evden, &uuml;&ccedil; g&uuml;n&uuml; (Sal&inodot;, &Ccedil;ar&scedil;amba, Per&scedil;embe) ise Fulya'da bulunan ofisimizden hibrit sistemi &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
</div>

Creative Scientist

INO Beauty

<div>
 
 
 Working at INO: R&amp;D / Product Development Scientist (Cosmetics)
 
 
 
 
 
 
 INO Beauty is an independent biotechnology brand blending simplicity with innovation. With our collagen-based technology,
 
 we are redefining the beauty-tech space in T&uuml;rkiye &mdash; and beyond.
 
 
 
 
 
 
 We&rsquo;re looking for an R&amp;D / Product Development Scientist who will take full ownership of new product creation &mdash; from researching raw materials and developing formulations to production and quality assurance.
 
 
 If you&rsquo;re passionate about innovation, follow trends closely, and want to build products that make an impact, this role is for you.
 
 
 &nbsp;
 
 
 
 In This Role, You Will:
 
 
 
 
 
 <ul>
 <li>
 Lead the development of new cosmetic products from concept to launch
 </li>
 <li>
 Research and test innovative raw materials and technologies
 </li>
 <li>
 Develop and refine formulations across skincare, sun care, and color categories
 </li>
 <li>
 Analyze market and competitor trends to identify new opportunities
 </li>
 <li>
 Manage raw material sourcing and maintain supplier relations
 </li>
 <li>
 Oversee production and quality control to ensure formula consistency and performance
 </li>
 <li>
 Coordinate external testing and regulatory processes
 </li>
 <li>
 Ensure compliance with local and international cosmetic regulations
 </li>
 <li>
 Collaborate with marketing and design teams to align science with storytelling
 </li>
 <li>
 Stay up to date on global beauty trends and ingredient innovations
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Who We&rsquo;re Looking For:
 
 
 
 
 
 <ul>
 <li>
 Degree in Chemistry, Chemical Engineering, Cosmetic Science, or related field
 </li>
 <li>
 Minimum 3 years of experience in cosmetic formulation or product development
 </li>
 <li>
 Strong understanding of cosmetic ingredients, production, and quality standards
 </li>
 <li>
 Experience managing suppliers and technical documentation
 </li>
 <li>
 Knowledge of cosmetic regulations and compliance standards
 </li>
 <li>
 Creative, analytical, and passionate about innovation and trends
 </li>
 <li>
 Strong communication skills and proficiency in English
 </li>
 </ul>
 
 &nbsp;
 
 
 
 It&rsquo;s More Than a Job
 
 
 
 
 
 
 At INO, titles don&rsquo;t define us &mdash; ideas and impact do.
 
 
 We believe true innovation starts with curiosity and courage.
 
 
 If you&rsquo;re ready to shape the future of beauty-tech in T&uuml;rkiye and beyond, we&rsquo;d love to meet you.
 
 
 
 
 
 📩 Send your application to: careers@theinobeauty.com
 
 
 🌐 Learn more: https://inobeauty.com.tr
 
</div>

R&D / Product Development Scientist (Cosmetics)

Turknet

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

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 new users every month in the US market alone
 
 . We are a remote-friendly startup 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,&nbsp;
 
 our goal is the same:&nbsp;provide actual value to people with the best mobile user experience
 
 .
 
 
 
 
 
 
 We're looking for a data-driven problem solver 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&nbsp;
 
 full-stack
 
 &nbsp;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>
 
 
 
 
 
 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>
 
 
 
 
 
 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>
 
 
 
 
 
 Let's shape the future of mobile together!
 
 
 
 
 
</div>

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