business analyst

data analyst

senior data scientist

data engineer

senior data analyst

data scientist

Enerjisa Üretim

<div>
 
 We are looking for a
 
 Data Scientist/Junior Data Scientist
 
 to join our team in &Idot;stanbul Ata&scedil;ehir Head Office.
 
 
 
 
 
 At Enerjisa &Uuml;retim, nature and people are our true sources of energy. Every step we take moves us closer to a more sustainable future. As our operations expand across the globe, we continue to create value that goes beyond borders.
 
 
 58% of our energy portfolio comes from renewable sources &mdash; and we&rsquo;re already shaping tomorrow&rsquo;s energy, starting today.
 
 
 People are at the heart of everything we do. Our growth is driven by a deep commitment and enriched by the diverse voices that make us who we are.
 
 
 We believe true transformation begins together.
 
 
 
 
 
 
 Ready to be part of the change? Join us &mdash; because the future changes with us.
 
 
 
 
 
 
 
 
 DATA SCIENTIST/ JUNIOR DATA SCIENTIST
 
 
 
 
 Are you passionate about the intersection of data science and the energy sector? We are on the lookout for a talented Data Scientist/Junior Data Scientist to join our team and contribute to cutting-edge projects in energy generation, trading, and derivatives. If you thrive on developing quantitative solutions, building decision support systems, and collaborating across multidisciplinary teams, this opportunity is for you!
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's or Master's Degree preferably in Industrial Engineering, Computer Science, Engineering or a related quantitative field with a focus on applied statistics, AI, machine learning
 </li>
 <li>
 At least 1-2 years experience on related fields
 </li>
 <li>
 Hands on experience with data science projects &mdash; from requirement specification till deploying, maintaining, and improving production-ready solutions
 </li>
 <li>
 Hands on experience on real-world optimization problems and ability to develop large optimization algorithms or heuristics to solve these problems
 </li>
 <li>
 Hands on experience in scripting languages Python and R
 </li>
 <li>
 Experience of coding in optimization tools as XPRESS, CPLEX or GUROBI or optimization focused Python libraries as xpress, pulp, pyomo
 </li>
 <li>
 Experience with machine learning models
 </li>
 <li>
 Experience on data consumption methods (SQL, API, Azure Service Bus)
 </li>
 <li>
 Experience with cloud environment is a plus
 </li>
 <li>
 Experience with DevOps tools (GitHub, Docker) is a plus
 </li>
 <li>
 Knowledge of Turkish energy sector is a plus
 </li>
 <li>
 Fluent in English
 </li>
 </ul>
 
 
 
 
 
 Job Descriptions:
 
 
 <ul>
 <li>
 Developing quantitative solutions centered around energy generation, trading, and derivatives
 </li>
 <li>
 Developing statistical forecasting models, simulation tools, optimization algorithms and mathematical models for stochastic processes
 </li>
 <li>
 Building decision support systems from scratch
 </li>
 <li>
 Performing fundamental data analysis and data visualization
 </li>
 <li>
 Performance tracking and maintaining the existing products
 </li>
 <li>
 Collaborating with backend, frontend, data engineering, product and business teams for model development and implementation by regarding the secure software development cycle
 </li>
 </ul>
 
 
 
 
 
 What Awaits You at Enerjisa &Uuml;retim?
 
 
 <ul>
 <li>
 
 Hybrid Working Model
 
 </li>
 <li>
 
 Master&rsquo;s Degree Support
 
 </li>
 <li>
 
 Flexible Benefits
 
 
 (With our "Sana G&ouml;re" program, you can customize your benefits based on your individual needs and preferences)
 
 </li>
 <li>
 
 Child&amp;Pet-Friendly Policies
 
 </li>
 <li>
 
 Collective&amp;Special Leave Options
 
 </li>
 <li>
 
 Learning&amp;Development Programs and LinkedIn Learning Membership
 
 </li>
 <li>
 
 Power MBA Development Program
 
 
 (In collaboration with Sabanc&inodot; University Executive Development Unit &ndash; offering training opportunities in energy markets, generation technologies, data analytics, strategy, finance, and more)
 
 </li>
 <li>
 
 Social Activity Clubs
 
 
 (Sports, arts, travel, gastronomy)
 
 </li>
 <li>
 
 Healthy Living Services
 
 
 (Fitness trainers, dietitian support, and wellness programs)
 
 </li>
 <li>
 
 Parent Support Program
 
 
 (Includes support from nurses, dietitians, psychologists, and coaches from pregnancy through postpartum)
 
 </li>
 <li>
 
 Private Pension Plan
 
 (with company Contributions)
 </li>
 <li>
 
 Private Health and Life Insurance
 
 </li>
 <li>
 
 Sabanc&inodot; Life Privileges
 
 
 (Exclusive offers in shopping, travel, technology, wellness, and more)
 
 </li>
 </ul>
 
 👉
 
 
 Click Here To Watch Our Office Promotional Video
 
 
 
</div>

Data Scientist/Junior Data Scientist

Fugo Games

<div>
 
 Our core belief at Fugo is that our potential grows with our team. With each new team member, we ensure that we have moved a step forward towards creating the highest quality mobile games possible.
 
 
 
 
 
 We are looking for a talented and creative
 
 
 Data Scientist
 
 
 interested in pushing the boundaries of game analytics. You&rsquo;ll have a proven ability to apply your skills, be it technical, behavioral or economic, to generate value for the studio's new generation of awesome mobile games.
 
 
 
 
 
 
 
 Desired Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor's degree in related departments from a reputable university.
 </li>
 <li>
 2+ years of work experience as a data scientist.
 </li>
 <li>
 Strong knowledge of statistical methods, machine learning algorithms, and data visualization techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Advanced SQL skills
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
 </li>
 <li>
 Passion for gaming and a deep understanding of player behavior and game mechanics.
 </li>
 </ul>
 
 
 
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Analyze large datasets to extract meaningful insights and trends.
 </li>
 <li>
 Develop and implement data models and algorithms to enhance game performance and user experience.
 </li>
 <li>
 Collaborate with other departments to integrate data-driven decision-making into the game development process.
 </li>
 <li>
 Design and conduct A/B tests to evaluate the impact of new features and improvements.
 </li>
 <li>
 Monitor and optimize in-game metrics to ensure player satisfaction and retention.
 </li>
 <li>
 Provide actionable recommendations based on data analysis to improve game engagement and monetization.
 </li>
 </ul>
 
 
 
 
 
 
 What you can expect from us:
 
 
 
 <ul>
 <li>
 Being a part of a passionate team
 </li>
 <li>
 Opportunity to take initiative and bring new ideas
 </li>
 <li>
 Enjoy coming to work every day and to have delightful stories to tell your family and friends
 </li>
 </ul>
</div>

Data Scientist

Ford Otosan

<div>
 
 
 Our employees are the source of our strength.
 
 
 
 
 With the vision of being Turkey&rsquo;s most valuable and most preferred industrial company, we would like you to help us grow!
 
 
 
 
 
 
 We are looking for a passionate, talented &ldquo;Data Scientist&rdquo; to join our Big Data &amp; AI Team. As a data scientist, you will be responsible to provide actionable business insights that will drive revenue, reduce cost, lead automotive data journey and improve customer experience. You will be working with a community of colleagues across technology and business functions.
 
 
 
 
 
 
 Location is based on Sancaktepe/&Idot;stanbul with hybrid working model.
 
 
 
 
 
 
 
 Description:
 
 
 
 The Data Scientist understands the business need/requirement and supports decision making with data science and statistical analysis, using wide ranges of data available to them. Working with the business owners the Data Scientist ensures business questions are answered through the interpretation of data and provision of analytical models. Typically reports to the Chapter Lead.
 
 
 Your Place in the team:
 
 
 &bull; Building machine learning models for Ford Otosan&rsquo;s manufacturing and automotive challenges
 
 
 &bull; Bringing and investigating data from different systems, structured and unstructured, both batch and real time, to discover hidden relationships, correlation and useful informations
 
 
 &bull; Converting complex datasets into key strategy insight and powerful capabilities to the business
 
 
 &bull; Identifying new data sources and evaluate emerging technologies for data discovery usage
 
 
 &bull; Presenting the results to technical and non-technical audiences
 
 
 &bull; Identifying new analytics trends and opportunities to drive the innovation agenda across Ford Otosan
 
 
 
 
 
 
 We are looking for you if you have:
 
 
 
 &bull; BSC/MSC/Ph.D. degree in quantitative fields like Mathematics, Statistics, Computer Engineering or Industrial Engineering (MSc or Ph.D. in Machine Learning is preferred)
 
 
 &bull; Minimum 2 years experience in developing, implementing and maintaining Machine Learning /AI models and Optimization Algorithms
 
 
 &bull; Familiar with the Big Data Analytics landscape and related technologies, especially Hadoop, HDFS, Hive/Impala, Spark (PySpark), Kafka
 
 
 &bull; Very good SQL knowledge
 
 
 &bull; Hands-on experience with coding using Python and experience in Python Data Analysis libraries such as Pandas, Numpy, Scikit-learn and PySpark
 
 
 &bull; Being worked with at least some of the data visualization tools such as Tableau, PowerBI or Python&rsquo;s matplotlib
 
 
 &bull; Being worked with Predictive Maintenance models, Clustering/Propensity models and Optimization Algorithms
 
 
 &bull; Excellent communication skills, with the ability to present technical results to non-technical audiences
 
 
 &bull; Curiosity, creativity, and an empirical mindset
 
 
 &bull; Being detail-oriented
 
 
 
 
 
 
 When You Start Your Career In "Ford Otosan";
 
 
 
 &bull; We have hybrid working model and you can enjoy being part of an agile team.
 
 
 &bull; You'll become a member of Ko&ccedil; Pension Foundation
 
 
 &bull; You and your loved ones will enjoy the benefits of Ko&ccedil;Ailem
 
 
 &bull; You'll choose the side benefits with Flextra
 
 
 
 
 
 
 The only criterion evaluated in the recruitment and employment is suitability for the job; equal opportunity is provided without any discrimination.
 
 
 
 
 
 
 
 What About Us?
 
 
 
 
 
 
 Ford Otosan, being one of the top three exporting companies in Turkey since 2004, has achieved 13 consecutive years of automotive industry championship and is Turkiye goods product export champion for 9 years in a row. Ford Otosan operates in 4 main centers with its G&ouml;lc&uuml;k and Yenik&ouml;y Plants in Kocaeli, Eski&scedil;ehir Plant in Eski&scedil;ehir, Sancaktepe R&amp;D Center and Spare Parts Warehouse in &Idot;stanbul and Craiova Plant in Romania employs more than 20,000 people. Kocaeli and Eski&scedil;ehir Plants are listed among Ford's 'Best Vehicle Production Centers' and Eski&scedil;ehir is the only factory in Turkiye that can produce vehicles, engines, and powertrains in the same center.
 
 
 
 
 
 Ford Otosan, standing out with its sensitivity regarding social responsibilities, also carries out several social responsibility projects in many fields including education, healthcare, culture, arts, and sports on &ldquo;Future. Now&rdquo; vision. Ford Otosan, also carrying out awareness studies on gender equality since 2013 with the understanding of "Equality at Work", became the only automotive and the first and only industrial company from Turkiye to be included in the Bloomberg Gender-Equality Index in 2021.
 
 
 
 
 
 The building blocks of our new corporate culture, which we call &ldquo;Dynamic Balance&rdquo;, our values are mutual trust and respect, value each other and affection, openness to change and innovation, open and transparent communication.
 
 
 
 
 
 A common culture brings us to a common sense and purpose, helps us to work in a positive atmosphere of trust, ties us closer and helps us to reach a stronger future all together.
 
</div>

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>

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>

Otokoç Otomotiv

<div>
 
 
 A World Full of Goodness, Success, and Innovation awaits you at Otoko&ccedil; Otomotiv. If you want to be included in a World Full of Future, let's meet!
 
 
 
 
 
 
 Otoko&ccedil; Otomotiv, which was established in 1928 as the first investment of the Ko&ccedil; Group in the automotive sector and started the history of automotive in Turkey, today; Otoko&ccedil;, Avis, Avis Filo, Avis Filo Maestro, Budget, Otoko&ccedil; Insurance, Otoko&ccedil; Used Car, otokocihale.com, is Turkey's largest automotive retailing, car rental and car sharing company serving with Otoko&ccedil; Parts and Lastick brands.
 
 
 
 
 
 Under the roof of Otoko&ccedil;, new vehicle sales, service, and spare parts services, wholesale spare parts sales, insurance and financing, accessory sales, used car vehicle sales, and vehicle protection systems under the Ford, Ford Trucks, Volvo, Fiat, Alfa Romeo, Jeep, and Maserati brands, in short offers all automotive solutions to the customers under one roof.
 
 
 
 
 
 In car rental, short-term rental with Avis and Budget brands; Operational leasing with Avis Filo, also known as fleet leasing; Fleet management with the Avis Filo Maestro brand to the customers.
 
 
 
 
 
 Continuing the activities at nearly 400 points in 9 countries, including Turkey, Greece, Azerbaijan, Hungary, Georgia, Kazakhstan, Ukraine, Northern Cyprus, and Northern Iraq, with the vision of " Being a global and leading reference point developing innovative mobility solutions. "
 
 
 
 
 
 You too, have adopted the organizational agile working principles, giving importance to equality of opportunity and inclusiveness in the candidate and employee experience; If you want to work in a working environment that defines the values of development, innovation, cooperation, sincerity and transparency as the indispensable values of its culture, you can review the announcement details below and apply.
 
 
 
 
 
 
 
 
 
 Our position where we invite you to join us: Data Scientist
 
 
 
 
 
 
 At
 
 Otoko&ccedil; Otomotiv
 
 , we are seeking an experienced
 
 Data Scientist
 
 to drive data-driven decision-making and implement cutting-edge
 
 Generative AI
 
 solutions, particularly focusing on the Azure AI ecosystem.
 
 
 
 
 
 
 So, what responsibilities does the Data Scientist take on at Otoko&ccedil; Otomotiv?
 
 
 
 
 
 
 &bull;
 
 Strategic Data Analysis &amp; Modeling
 
 : Analyze complex internal data (CRM, ERP, DWH, DLH) to develop statistical models, machine learning, and deep learning solutions for business optimization (e.g., pricing, demand forecasting).
 
 
 &bull;
 
 LLM Solution Development:
 
 Design, develop, and deploy solutions leveraging Large Language Models (LLMs) and Small Language Models (SLMs).
 
 
 &bull; Focus on Retrieval-Augmented Generation (RAG) architecture implementation.
 
 
 &bull; Utilize Azure OpenAI Services and Azure AI Search for enterprise AI applications.
 
 
 &bull;
 
 Data Engineering &amp; Quality
 
 : Collect, clean, and structure large datasets to ensure high data quality for modeling.
 
 
 &bull;
 
 Insight &amp; Communication:
 
 Translate complex analytical findings into actionable business recommendations for stakeholders.
 
 
 &bull;
 
 AI Strategy Publishing :
 
 Manage tasks related to AI strategy steps and coordinate with all departments across the company to publish the AI strategy and follow up on domain-specific actions.
 
 
 
 
 
 
 What are the Required Qualifications?
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s degree in Computer Science, Statistics, or related technical fields.
 
 
 &bull; 3&ndash;5 years as a Data Scientist, preferably in the automotive sector.
 
 
 &bull; Strong proficiency in Python and SQL.
 
 
 &bull; Expertise in machine learning, statistical analysis, and predictive modeling.
 
 
 &bull; Big Data handling, Azure AI/ML, and Databricks experience.
 
 
 &bull; Data visualization tools (Power BI, Tableau).
 
 
 &bull; LLM/Generative AI Competencies:
 
 
 &bull; Hands-on experience with LLMs (e.g., GPT family, Gemini).
 
 
 &bull; Knowledge of RAG, prompt engineering, Vector Databases, and safety guardrails.
 
 
 &bull; Experience in setting up and managing end-to-end MLOps processes (CI/CD, Model Registry) on Databricks or a similar platform.
 
 
 &bull; Experience in delivering end-to-end Chatbot/LLM projects.
 
 
 &bull; Familiarity with Copilot Studio (Power Virtual Agents).
 
 
 &bull; Familiarity with the automotive industry (e.g., connected car, aftersales).
 
 
 &bull; Strong analytical thinking, problem-solving, and collaboration skills.
 
 
 &bull;Strong communacation skills
 
 
 &bull;Strong planning
 
 
 &bull; Proficiency in English.
 
 
 
 
 
 
 Also, what do we promise you in this world?
 
 
 <ul>
 <li>
 Flexible Benefit
 </li>
 <li>
 Ko&ccedil; Pension Foundation Membership
 </li>
 <li>
 Ko&ccedil; Family Card Membership
 </li>
 <li>
 Complementary Health Insurance
 </li>
 <li>
 Private Health Insurance (Optional)
 </li>
 <li>
 Personal Accident Insurance
 </li>
 <li>
 Food and Service (Lunch Voucher and Cafeteria)
 </li>
 <li>
 Birth Package and Nurse Program for Newborn Baby
 </li>
 <li>
 Free Car Rental and Paid Leave Gift for Married Employees
 </li>
 <li>
 Social Assistance Package
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 How Do Our Recruitment Processes Proceed?
 
 
 
 Our recruitment process consists of the following stages. Our process length varies according to the position. We want you to know that at the end of the process, we will inform you according to your suitability for the position.
 
 <ul>
 <li>
 Application
 </li>
 <li>
 Preliminary assessment
 </li>
 <li>
 Telephone and face-to-face / online interview
 </li>
 <li>
 Inventory stage
 </li>
 <li>
 Reference research
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 For this and more, you can access all of our open advertisements on Ko&ccedil; Kariyerim, Kariyer.net, Linkedin, and Youthall pages.
 
 
 
 
 
 Don't forget to follow our Otoko&ccedil; Career social media accounts to be informed about the most exciting developments about us!
 
 
 
</div>

Explore 1022+ Data scientist in Turkey this December. Find roles across top companies and apply now to boost your career.

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