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data scientist consultant

analytical data scientist

Dream Games

<div>
 
 We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
 </li>
 <li>
 Monitoring the integrity and validity of the reported data
 </li>
 <li>
 Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience in prediction, modeling, and forecasting
 </li>
 <li>
 Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
 </li>
 <li>
 Advanced SQL skills
 </li>
 <li>
 High proficiency in Python or R
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Appreciation and understanding of teamwork
 </li>
 </ul>
</div>

Data Scientist

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>

Cypher Games

<div>
 At Cypher Games, data isn&rsquo;t just numbers&mdash;it&rsquo;s the key to creating unforgettable player experiences. As a
 
 Data Scientist
 
 , you&rsquo;ll uncover patterns, build predictive models, and transform raw data into insights that shape the future of our games. Working hand-in-hand with Product, Marketing, and Engineering teams, your work will directly impact how millions of players enjoy and engage with our worlds. If you&rsquo;re passionate about games, analytics, and solving complex problems with creativity, we&rsquo;d love to have you on our team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex data sets to uncover insights that guide product, marketing, and design decisions
 </li>
 <li>
 Build predictive models, simulations, and forecasting tools to improve player engagement and retention
 </li>
 <li>
 Design and evaluate A/B tests to validate hypotheses and optimize gameplay and monetization strategies
 </li>
 <li>
 Collaborate with Product, Marketing, and Engineering teams to translate business needs into data-driven solutions
 </li>
 <li>
 Build and maintain dashboards, reports, and analytics pipelines to empower teams with actionable insights
 </li>
 <li>
 Monitor data quality and ensure the accuracy and reliability of reports and metrics
 </li>
 <li>
 Stay up-to-date with emerging tools, methods, and best practices in data science and analytics
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics, etc.)
 </li>
 <li>
 1&ndash;2+ years of professional experience in data science, analytics, or a related field (gaming experience is a plus)
 </li>
 <li>
 Strong skills in SQL and proficiency in Python
 </li>
 <li>
 Hands-on experience with dashboard and visualization tools (Looker, Tableau, or similar)
 </li>
 <li>
 Understanding of statistical methods, A/B testing, predictive modeling, and machine learning techniques
 </li>
 <li>
 Curiosity-driven, detail-oriented, and strong problem-solving mindset
 </li>
 <li>
 Excellent communication skills and ability to work in cross-functional teams
 </li>
 <li>
 Passion for mobile games and using data to shape player experiences
 
 </li>
 </ul>
</div>

Pazarama

<div>
 
 
 Hi, I've got something to share with you!
 
 
 
 
 
 
 My name is Pazarama.
 
 
 
 
 
 
 Who am I?
 
 
 
 
 
 
 I&rsquo;m an e-commerce platform that makes life easier for my customers and business partners&mdash;a place where you can find everything you need. My name is a blend of the words "Bazaar" and "Panorama." I'm here to offer a panoramic view of the e-commerce world, creating a marketplace where everyone can find what they&rsquo;re looking for. Plus, with the strength of being a subsidiary of &Idot;&scedil; Bank and my broad perspective, I aim to create a sustainable shopping ecosystem.
 
 
 I&rsquo;m everywhere, making it easy for you to reach me: Pazarama mobile, the Pazarama website, &Idot;&scedil;Cep, Maximum Mobile and physical stores.
 
 
 From hotel and flight bookings to car rentals, online shopping to transportation card top-ups, even fuel payments without leaving your car, and exciting sweepstakes&mdash;I provide an all-in-one platform to meet all your needs.
 
 
 But that's not all... I aim to please those who choose me by offering payment options packed with discounts, instalment plans, and rewards. I don't just make shopping easier; I make it more rewarding with everything I&rsquo;ve mentioned. I&rsquo;m constantly evolving, enhancing myself and my technologies for my users and business partners.
 
 
 
 
 
 
 So, what can I do for you?
 
 
 
 
 
 
 This is a journey, and we&rsquo;re in it together. We&rsquo;ll enhance your skills with career-supporting training and create opportunities to achieve your dreams together. Every step of the way, we&rsquo;ll make this journey more vibrant with your ideas, enthusiasm, and talents. In this adventure, where you won&rsquo;t be afraid of making mistakes, we can turn your dreams into reality together.
 
 
 If you want to join me on this journey, apply for the position below and become part of our team!
 
 
 
 
 
 Pazarama is with you on your career journey 💙
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 A great team player with a creative, self-initiative mindset
 </li>
 <li>
 Excellent communication skills and problem-solving abilities
 </li>
 <li>
 2+ years of experience working as Data Scientist, Machine Learning Engineer or equivalent
 </li>
 <li>
 BS/MS degree in quantitative field (data science, computer engineering/science, information systems, software engineering, mathematics, statistics, or a similar field), or equivalent experience
 </li>
 <li>
 Experience in applying statistical solutions to solving business problems
 </li>
 <li>
 Fluency in Python and SQL
 </li>
 <li>
 Experience using analytics related libraries and AI/ML frameworks (e.g. scikit-learn, pandas, PyTorch, Tensorflow, PySpark)
 </li>
 <li>
 Active engagement with new trends in technology
 </li>
 </ul>
 
 
 
 
 
 Responsible for:
 
 
 
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Perform mining, preparation and preprocessing of structured and unstructured data
 </li>
 <li>
 Converting data into meaningful insights and presenting information using data visualization tools and techniques
 </li>
 <li>
 Collaborate with stakeholders across the organization to create data-driven business solutions
 </li>
 <li>
 Conduct projects end-to-end from initial business case through development and production
 </li>
 <li>
 Design, develop and test machine learning and deep learning pipelines and platforms
 </li>
 <li>
 Focus on quality, accuracy and consistency of data, reporting data quality issues to both data owners and technical staff
 </li>
 </ul>
 
 
 
 
 
 Preferred if:
 
 
 
 
 
 <ul>
 <li>
 Strong experience in relational (SQL Server) and non-relational databases (Mongo DB)
 </li>
 <li>
 Knowledge of typical BI/data analytics tools (PowerBI/Tableau)
 </li>
 <li>
 Fluency in other programming languages (e.g. Scala, C#, Java) is a plus
 </li>
 <li>
 Hands-on experience with workflow management platforms (e.g. AirFlow, MLFlow, MLRun)
 </li>
 <li>
 Experience with Computer Vision, Image Processing, Natural Language Processing (NLP) techniques, recommendation systems and applications
 </li>
 <li>
 Participation in competition platforms like Kaggle
 </li>
 <li>
 Experience in cloud platforms (Amazon Web Services, Google Cloud Platform or Microsoft Azure) with related tools
 </li>
 <li>
 Experience in modern DevOps practices and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of recommendation and personalization systems, with experience in e-commerce environments is a big plus
 </li>
 </ul>
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz, veri sorumlusu Topkap&inodot; Dan&inodot;&scedil;manl&inodot;k Elektronik Hizmetler Pazarlama ve Ticaret A.&Scedil;. taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Ayd&inodot;nlatma Metni&rsquo;ne
 
 https://cdn.pazarama.com/docs/is-basvurusu-aydinlatma-metni.pdf
 
 linkinden ula&scedil;abilirsiniz. &Idot;lan&inodot;m&inodot;za ba&scedil;vuru yapman&inodot;z halinde ilgili metnin t&uuml;m&uuml;n&uuml; onaylam&inodot;&scedil; kabul edileceksiniz.
 
 
</div>

Yıldız Tech

<div>
 
 
 About the job
 
 
 
 The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our more than 80 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 45 factories, 20 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 80 years with our products, services and sustainable social responsibility understanding.
 
 
 
 
 
 Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 Y&inodot;ld&inodot;z Tech's Digital Transformation organization is seeking a
 
 Data Scientist (Operations Research &amp; Optimization)
 
 to design and implement advanced optimization and decision-support solutions. In this role, you will work on projects such as route optimization, inventory and stock optimization, resource allocation, production scheduling, profit maximization, and other operations research problems. You will collaborate with business and engineering stakeholders to transform complex operational problems into scalable, data-driven optimization solutions.
 
 
 
 
 
 
 
 
 
 What Awaits You, What Will Be Your Responsibilities?
 
 
 
 
 
 <ul>
 <li>
 Researching, designing, implementing, and evaluating optimization algorithms and mathematical models (linear, integer, mixed-integer, nonlinear, stochastic programming, heuristics/metaheuristics, etc.).
 </li>
 <li>
 Developing models to optimize supply chain, logistics, and production planning decisions (e.g., inventory policies, routing, scheduling, resource allocation).
 </li>
 <li>
 Building simulation and what-if analysis tools to support strategic and tactical decision-making.
 </li>
 <li>
 Integrating statistical and machine learning techniques with optimization models &mdash; e.g., using demand forecasting to feed planning models, clustering to enable scalable route optimization and regression models to estimate cost effects.
 </li>
 <li>
 Preprocessing and preparing data from multiple sources to be used in optimization and mathematical modeling.
 </li>
 <li>
 Implementing robust algorithms and ensuring their scalability for large datasets and complex real-world problems.
 </li>
 <li>
 Creating reports, maps and visualizations to communicate model outputs and recommendations effectively.
 </li>
 <li>
 Collaborating with cross-functional teams including operations, supply chain, production, and IT stakeholders to understand requirements and deliver impactful solutions.
 </li>
 <li>
 Staying updated on the latest research and industry practices in operations research, optimization, and applied AI.
 </li>
 <li>
 Documenting methodologies, models, and results in clear, reproducible formats.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What will be the qualifications we expect from you?
 
 
 
 
 
 <ul>
 <li>
 BS/MS Degree in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science/Engineering (or other related quantitative fields).
 </li>
 <li>
 Minimum 3 years of experience in operations research, optimization, or related data science fields.
 </li>
 <li>
 Strong background in mathematical optimization (LP, IP, MIP/MILP, nonlinear optimization, stochastic optimization).
 </li>
 <li>
 Hands-on project experience in areas such as:
 </li>
 <li>
 Routing and scheduling (e.g., VRP, TSP, logistics planning)
 </li>
 <li>
 Production planning and scheduling
 </li>
 <li>
 Inventory and safety stock optimization
 </li>
 <li>
 Resource allocation and assignment problems
 </li>
 <li>
 Proficiency in Python and optimization libraries/tools (e.g., CPLEX, OR-Tools, Pyomo, PuLP).
 </li>
 <li>
 Strong analytical and problem-solving skills with ability to translate business problems into mathematical formulations.
 </li>
 <li>
 Good command of SQL for working with large-scale datasets.
 </li>
 <li>
 Excellent communication skills and ability to work with cross-functional teams.
 </li>
 <li>
 Fluency in English.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Which skills will highlight you?
 
 
 
 
 
 <ul>
 <li>
 Knowledge of statistical/machine learning methods to complement optimization solutions (forecasting, clustering, regression models, etc).
 </li>
 <li>
 Experience in cloud environments (AWS, Azure) for scalable model deployment.
 </li>
 <li>
 Practical experience with deploying optimization models into production environments.
 </li>
 <li>
 Familiarity with reinforcement learning and its applications in operations optimization.
 </li>
 <li>
 Strong mathematical and analytical mindset with a passion for optimization.
 </li>
 <li>
 Ability to design creative and practical solutions for complex operational problems.
 </li>
 <li>
 Effective communication and collaboration abilities.
 </li>
 <li>
 Hands-on mindset: from problem formulation to model implementation and deployment.
 </li>
 <li>
 Curiosity and eagerness to stay up-to-date with cutting-edge optimization and operations research techniques.
 </li>
 <li>
 Team spirit and adaptability in collaborative environments.
 </li>
 </ul>
 
 
 
 
 
 
 
 &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ; https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 
 
 
</div>

Data Scientist (Operations Research & Optimization)

arabam.com

<div>
 
 We are looking for a Data Scientist.
 
 
 
 
 
 
 
 
 
 About the Company
 
 
 
 Arabam.com, the leading auto classifieds marketplace of Turkey, was established in 2000 and joined the iLab Holding family in 2016.
 
 
 The arabam.com team, working with the mission to make buying and selling vehicles from the Internet much more reliable, easier and more comfortable, aims to improve the users experience with new functions continuously.
 
 
 Those who want to sell their car or who want to buy a car can make transactions anytime, anywhere.
 
 
 
 
 <ul>
 <li>
 7 million users per month,
 </li>
 <li>
 Over 200 million page views,
 </li>
 <li>
 7000+ car dealer members,
 </li>
 <li>
 6 million individual members,
 </li>
 <li>
 92% mobile traffic.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 Stay open to learn and be a great team player with good communication skills (not a super star),
 </li>
 <li>
 Be a lifelong learner and take responsibility.
 </li>
 <li>
 Able to analyze and implement solutions to presented problems while satisfying the user&rsquo;s needs,
 </li>
 <li>
 Write code that is maintainable and highly reliable,
 </li>
 <li>
 Have strong problem-solving skills,
 </li>
 <li>
 Have the ability to multi-task and prioritize work as necessary,
 </li>
 <li>
 Enjoy collaboration with a team to successfully complete projects.
 </li>
 <li>
 Working with cross functional teams.
 </li>
 <li>
 Experience in a startup is a plus,
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If You Have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Statistics, Mathematics, Econometrics, Computer Science, or a related field (or equivalent experience),
 </li>
 <li>
 3+ years of experience in a similar role,
 </li>
 <li>
 Proven experience in building advanced predictive analytics models and working with large datasets,
 </li>
 <li>
 Fluency in
 
 Python
 
 and experience with data science libraries,
 </li>
 <li>
 Hands-on experience with deep learning architectures such as
 
 CNN
 
 ,
 
 RNN
 
 ,
 
 LSTM
 
 ,
 </li>
 <li>
 Hands on experience with libraries like
 
 Tensorflow, Keras, PyTorch,
 
 etc.
 </li>
 <li>
 Strong command of
 
 SQL
 
 and experience with
 
 big data frameworks
 
 such as
 
 Hadoop
 
 and
 
 Spark
 
 ,
 </li>
 <li>
 Applied machine learning experience in real-world business scenarios,
 </li>
 <li>
 Eagerness to learn and adapt to new technologies and methodologies,
 </li>
 <li>
 Ability to work collaboratively across teams, gather and interpret data, and clearly communicate insights to both technical and non-technical stakeholders,
 </li>
 <li>
 Experience with computer vision is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Understand complex operational and business problems, and take full ownership of turning large datasets into actionable insights using statistical methods and machine learning techniques,
 </li>
 <li>
 Conduct advanced statistical analyses to identify trends, evaluate performance, and generate data visualizations,
 </li>
 <li>
 Mine and analyze data from internal databases to support product development, optimize marketing strategies, and improve business outcomes,
 </li>
 <li>
 Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes,
 </li>
 <li>
 Extract meaningful information from historical data to automate and optimize critical processes,
 </li>
 <li>
 Develop monitoring tools and processes to track model performance and ensure data quality,
 </li>
 <li>
 Perform pre- and post-analysis of projects and newly launched features,
 </li>
 <li>
 Collaborate within cross-functional squads &mdash; including developers, product managers, and domain experts - to integrate models into production systems and ensure business impact.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What Do We Offer:
 
 
 <ul>
 <li>
 We continue to work remotely due to a pandemic since March 2020,
 </li>
 <li>
 The development team is consisting of people who are collaborative, sincere, talented and willing to learn and share new things,
 </li>
 <li>
 We are a rapidly growing company, this means a lot of opportunities
 </li>
 <li>
 We support developers to improve their skills, the candidate will have access to online learning courses,
 </li>
 <li>
 We encourage developers to test and implement cutting edge technologies,
 </li>
 <li>
 We have a medium publication that you can have a look: medium-arabamlabs
 </li>
 </ul>
 
 
 
 
 arabam.com olarak ki&scedil;isel verilerinizi nas&inodot;l i&scedil;ledi&gbreve;imiz hakk&inodot;nda detayl&inodot; bilgi i&ccedil;in l&uuml;tfen a&scedil;a&gbreve;&inodot;daki linkte yer alan Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu &Ccedil;er&ccedil;evesinde Ayd&inodot;nlatma Metnimizi inceleyiniz.
 
 
 
 https://www.arabam.com/kisisel-bilgilerin-korunmasi
 
 
 
 Please check the below link to see our Candidate Privacy Notice for detailed information on how we process your personal data.
 
 
 
 https://www.arabam.com/kisisel-bilgilerin-korunmasi
 
 
</div>

Aksigorta

<div>
 
 Aksigorta&rsquo;da kariyerine y&ouml;n verirken, cesaretinle fark yarataca&gbreve;&inodot;n, benzersiz bir tak&inodot;mla bamba&scedil;ka sigortac&inodot;l&inodot;&gbreve;a imza ataca&gbreve;&inodot;n &ldquo;&ccedil;ok ba&scedil;ka&rdquo; bir kariyer seni bekliyor.
 
 
 
 
 
 9 sekt&ouml;rde 16 &scedil;irketiyle T&uuml;rkiye ile d&uuml;nyay&inodot; bulu&scedil;turan Sabanc&inodot; Holding ile sigortac&inodot;l&inodot;kta 150 y&inodot;ll&inodot;k global oyuncu Ageas Group sinerjisinden beslenen ve 60 y&inodot;ll&inodot;k deneyime sahip T&uuml;rkiye&rsquo;nin en b&uuml;y&uuml;k sigorta &scedil;irketlerinden birinde &ccedil;al&inodot;&scedil;mak, Aksigortal&inodot; olmak ister misin?
 
 
 
 
 
 Teknoloji ve Operasyonel M&uuml;kemmellik ekibimizde de&gbreve;erlendirmek &uuml;zere Data Scientist adaylar&inodot;n&inodot;n ba&scedil;vurular&inodot;n&inodot; bekliyoruz!
 
 
 
 
 
 
 Genel Nitelikler
 
 
 <ul>
 <li>
 &Uuml;niversitelerin M&uuml;hendislik, Akt&uuml;erya ve &Idot;statistik lisans ve &uuml;zeri b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Tercihen en az 5 sene sigorta sekt&ouml;r&uuml; deneyimi olan,
 </li>
 <li>
 Sekt&ouml;rel ve sekt&ouml;r d&inodot;&scedil;&inodot; yenilikleri takip eden ve s&uuml;rekli &ouml;&gbreve;renme ve geli&scedil;imi prensip edinen,
 </li>
 <li>
 &Idot;leri seviyede s&ouml;zl&uuml; ve yaz&inodot;l&inodot; &Idot;ngilizce kullanabilen.
 </li>
 <li>
 Ba&scedil;tan sona Data Science proje geli&scedil;tirme tecr&uuml;besine sahip, Data Science algoritmalar&inodot;nda y&uuml;ksek seviyede bilgi sahibi.&Ouml;rn: (Xgboost, Light GBM, SVM, KNN, Naive Bayes)
 </li>
 <li>
 Big Data sistemleri (Microsoft Fabric, Hadoop, Hive, Airflow) ile ilgili bilgi sahibi olan,
 </li>
 <li>
 Data Science ve Generative AI uygulamalar&inodot; konusunda y&uuml;ksek derecede bilgi sahibi olan. (SAS, Datarobot, Python, OPENAI vb.)
 </li>
 <li>
 Data Analytics architecture hakk&inodot;nda bilgi sahibi olan
 </li>
 <li>
 Makine &Ouml;&gbreve;renmesi ve Yapay Zeka projelerinde binary,numeric ve kategorik de&gbreve;i&scedil;kenler olu&scedil;turmak i&ccedil;in veri ke&scedil;if analizleri, veri haz&inodot;rlama a&scedil;amalar&inodot;na y&uuml;ksek derecede haiz
 </li>
 <li>
 SQL/PL-SQL kodlama bilgisi olan, PL-SQL paket ve prosed&uuml;rlerin olu&scedil;turulmas&inodot; veya SAS EG kodlama ile veya Python kodlama &uuml;zerinde ile veri haz&inodot;rlama konusunda y&uuml;ksek derecede bilgi sahibi olan bir ekip arkada&scedil;&inodot; ar&inodot;yoruz.
 </li>
 </ul>
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;
 
 
 <ul>
 <li>
 Aksigorta&rsquo;n&inodot;n risk, fiyatlama ve m&uuml;&scedil;teri s&uuml;re&ccedil;lerine katk&inodot; sa&gbreve;layacak veri odakl&inodot; modeller geli&scedil;tirmek, makine &ouml;&gbreve;renmesi projeleri y&uuml;r&uuml;tmek.
 </li>
 <li>
 B&uuml;y&uuml;k veri setleri &uuml;zerinde veri temizleme, d&ouml;n&uuml;&scedil;t&uuml;rme ve entegrasyon &ccedil;al&inodot;&scedil;malar&inodot; ger&ccedil;ekle&scedil;tirmek.
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 &Idot;statistiksel ve makine &ouml;&gbreve;renmesi tabanl&inodot; modeller kurmak, test etmek ve iyile&scedil;tirmek.
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 Akt&uuml;erya, &uuml;r&uuml;n y&ouml;netimi ve i&scedil; analizi ekipleriyle yak&inodot;n temas halinde &ccedil;al&inodot;&scedil;mak; ihtiya&ccedil; analizi yapmak ve &ccedil;&ouml;z&uuml;mler &uuml;retmek.
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 Model performans&inodot;n&inodot; d&uuml;zenli olarak takip ederek, iyile&scedil;tirme f&inodot;rsatlar&inodot;n&inodot; belirlemek ve hayata ge&ccedil;irmek.
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 Sigortac&inodot;l&inodot;k sekt&ouml;r&uuml;ndeki yeni trendler, teknolojiler ve d&uuml;zenlemeleri takip ederek projelerde uygulamak; &scedil;irketin dijital d&ouml;n&uuml;&scedil;&uuml;m&uuml;ne katk&inodot; sunmak.
 </li>
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 Model sonu&ccedil;lar&inodot;n&inodot; ve veri analizi &ccedil;&inodot;kt&inodot;lar&inodot;n&inodot; anla&scedil;&inodot;l&inodot;r ve etkili bir &scedil;ekilde ilgili payda&scedil;lara (y&ouml;netim, i&scedil; birimleri) sunmak.
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 </ul>
 
 
 
 
 
 Aksigorta&rsquo;da seni neler bekliyor?
 
 
 
 
 
 
 
 Yabanc&inodot; Dil Deste&gbreve;i:
 
 Online ve &uuml;cretsiz olarak &Idot;ngilizce&rsquo;mizi geli&scedil;tiriyoruz.
 
 
 
 
 
 
 K&inodot;yafet Prosed&uuml;r&uuml;:
 
 Konforlu &ccedil;al&inodot;&scedil;may&inodot; &ouml;nemsiyor, y&inodot;l i&ccedil;erisinde kat&inodot; k&inodot;yafet kurallar&inodot; uygulam&inodot;yoruz! &Ouml;rne&gbreve;in yaz&inodot;n hem s&inodot;caktan daha az etkilenmek, hem de daha rahat &ccedil;al&inodot;&scedil;abilmek i&ccedil;in ofislerimizde &scedil;ortlar&inodot;m&inodot;zla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 
 
 
 
 
 &Scedil;irket Katk&inodot;l&inodot; BES:
 
 Birikim tutar&inodot;n kadar &scedil;irketin sa&gbreve;lad&inodot;&gbreve;&inodot; katk&inodot;yla gelece&gbreve;ine yat&inodot;r&inodot;m yapabilmen i&ccedil;in destek oluyoruz.
 
 
 
 
 
 
 Sabanc&inodot; Life:
 
 Sabanc&inodot; &ccedil;al&inodot;&scedil;anlar&inodot;na &ouml;zel farkl&inodot; indirim f&inodot;rsatlar&inodot;ndan yararlan&inodot;yoruz.
 
 
 
 
 
 
 Kul&uuml;plerimiz:
 
 6 farkl&inodot; spor kul&uuml;b&uuml;m&uuml;z ile d&uuml;zenli antrenmanlar yap&inodot;yor, y&inodot;l i&ccedil;erisinde &scedil;irketler aras&inodot; turnuvalara kat&inodot;larak ba&scedil;ar&inodot;lara imza at&inodot;yoruz! Sosyal kul&uuml;plerimiz ile de her ay gurme etkinliklerinden, sanat at&ouml;lyelerine; konserlerden tiyatroya uzanan keyifli aktivitelerde bulu&scedil;arak hep beraber sosyalle&scedil;iyoruz.
 
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