business analyst

data scientist

senior data scientist

data & ai solutions specialist Jobs in Istanbul

data & ai solutions specialist

data analyst

analytical data scientist

Midas Games

<div>
 
 Company Description
 
 
 
 Midas Games is dedicated to redefining the gaming experience with a focus on delivering unparalleled fun and competition. We create games that captivate our users, offering unique and memorable entertainment. By blending innovation and creativity, we aim to set new standards in the gaming industry. At Midas Games, every project reflects our commitment to excellence and player satisfaction.
 
 
 
 Role Description
 
 
 
 This is a full-time on-site role for a Data Scientist located in Istanbul, T&uuml;rkiye. The Data Scientist will analyze and interpret complex data to support game development and optimization. Day-to-day tasks include building predictive models, performing statistical analyses, creating data visualizations, and generating actionable insights to enhance game performance and user experience.
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proficiency in Data Science, Data Analysis, and Data Analytics
 </li>
 <li>
 Expertise in Statistics and Statistical Methods
 </li>
 <li>
 Strong skills in Data Visualization and presenting insights in an understandable format
 </li>
 <li>
 Experience with programming languages such as Python, R, or SQL
 </li>
 <li>
 Strong analytical and problem-solving abilities
 </li>
 <li>
 Bachelor's or higher degree in Data Science, Mathematics, Statistics, or a related field
 </li>
 <li>
 Experience in the gaming industry or with game-related data is a plus
 </li>
 </ul>
</div>

Data Scientist

QNB Türkiye

<div>
 
 
 DATA SCIENTIST
 
 
 
 
 
 
 
 ENHANCE YOUR WORLD WITH AN ENHANCING CAREER
 
 
 
 
 
 
 Are you aware of the power of data analyzing in banking sector which is putting human at the center of the business. Do you trust yourself at creating value at a developing area of one of the oldest and biggest sectors in the World.
 
 
 
 
 
 QNB is always supporting employees who are eager to create a development at their career and the future of the sector. Our human resources policies are aiming to create an equal, fulfilled and empowering working atmosphere for individuals willing to have a satisfying career journey.
 
 
 
 
 
 
 What are the opportunities for you
 
 
 
 
 
 <ul>
 <li>
 Empowering working atmosphere which will appreciate your desire for development
 </li>
 <li>
 Keeping up to date with a progressive sector always looking for a new opportunity
 </li>
 <li>
 Building a career at one of the most trustable and growing sectors.
 </li>
 <li>
 Comfort of working at an environment supporting your happiness and growth
 </li>
 </ul>
 
 
 
 
 
 If you are willing to be a part of this developmental atmosphere
 
 
 
 
 
 
 We are seeking for several data scientists (
 
 junior and mid-level
 
 ) who will help us in discovering the information in vast amounts of data, and making smarter decisions in
 
 QNB R&amp;D Center
 
 . Your focuses will be combining data-driven insights and business knowledge to create analytical solutions for business units and applying machine learning techniques, doing statistical analysis, and building high quality prediction systems integrated with current systems in R&amp;D Center projects. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
 
 
 
 
 
 
 
 Job Description of Our Team:
 
 
 
 
 In order to ensure that process is managed in an accurate and effective way;
 
 <ul>
 <li>
 Designing, developing, and maintaining new and current Dashboards, data models and reports to support business performance evaluations
 </li>
 <li>
 Troubleshooting and adjusting existing data and automated reporting environments
 </li>
 <li>
 Using extensive SQL and code knowledge to derive insights from large datasets in order to solve real-life, fast-paced business problems.
 </li>
 <li>
 Visualizing data through visualization tools and compelling data and portfolio trends to management and business units.
 </li>
 <li>
 Analyzing and extracting data to uncover insights, trends, and opportunities that inform strategic decisions and perform analysis.
 </li>
 <li>
 Collaborating closely with cross-functional teams, particularly IT, to define and execute data analysis projects,
 </li>
 <li>
 Contributing to the development of data analytics strategies aligned with business objectives,
 </li>
 <li>
 Monitoring key performance indicators (KPIs) and providing actionable recommendations based on your analyses,
 </li>
 <li>
 Developing predictive models using various machine learning techniques,
 </li>
 <li>
 Preparing smart variables by performing big data analysis, feature engineering,
 </li>
 <li>
 Keeping up-to-date with latest technology trends, and doing AI projects with Python/R,
 </li>
 <li>
 Establishing connection between the relevant units and with the consulting firms from which support is received in projects, when necessary,
 </li>
 </ul>
 
 
 
 
 
 We are waiting for your application if;
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from a reputable university (preferably in Mathematics, Engineering etc.),
 </li>
 <li>
 Interested in big data, analytics and machine learning subjects,
 </li>
 <li>
 Maximum 4 years of experience in related departments
 </li>
 <li>
 A methodological approach to data by presenting it clearly and effectively to support business decisions
 </li>
 <li>
 Ability to visualize data or use visualization tools,
 </li>
 <li>
 Good command of MS Office programs
 </li>
 <li>
 Good command of SQL for effective data manipulation and querying is a plus
 </li>
 <li>
 Using one of the following modeling programs effectively; SAS, Python, R or SPSS is a plus
 </li>
 <li>
 Fluency in English, both written and spoken
 </li>
 <li>
 Open-minded, strong analytical point of view and problem-solving skills,
 </li>
 </ul>
 
 
 
 
 The future of banking is waiting for you, apply to create an impact on this inspire full journey.
 
</div>

Sabanci University

<div>
 
 We are looking for a Data Analyst and Scientist with the following qualifications to work in the Sabanc&inodot; University Digital Transformation Unit.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (preferably a Master&rsquo;s) in Statistics, Mathematics, Computer Science, or a related field,
 </li>
 <li>
 Proficiency in programming languages such as SQL, Python (pandas, scikit-learn, NumPy, matplotlib), and R,
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Power BI, and Microsoft Fabric,
 </li>
 <li>
 Strong knowledge of statistical modeling and machine learning algorithms,
 </li>
 <li>
 Experience working with cloud data platforms (e.g., Google BigQuery, AWS Redshift, Microsoft Azure),
 </li>
 <li>
 Excellent analytical thinking and strong attention to detail,
 </li>
 <li>
 Preferably, hands-on experience with machine learning frameworks such as TensorFlow or PyTorch,
 </li>
 <li>
 Preferably, experience in Agent Projects,
 </li>
 <li>
 Strong English communication skills, both written and verbal,
 </li>
 <li>
 Experience or demonstrated interest in the education sector is an advantage,
 </li>
 </ul>
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 Analyze internal datasets and provide data-driven insights to support business needs,
 </li>
 <li>
 Design and develop dashboards and visual reports using tools such as Power BI, Fabric, or Tableau,
 </li>
 <li>
 Create statistical analyses and basic machine learning models including regression, classification, and clustering,
 </li>
 <li>
 Perform data analysis and modeling using Python or R,
 </li>
 <li>
 Monitor and improve the performance of developed models,
 </li>
 <li>
 Lead and coordinate Agent Projects,
 </li>
 <li>
 Collaborate closely with business units to support data-driven decision-making processes,
 </li>
 </ul>
 
 
 
 
 
 What we will offer you?
 
 
 <ul>
 <li>
 Working in Sabanc&inodot; University Campus with collaborative work environment and gym &amp; social areas,
 </li>
 <li>
 A competitive salary and a robust compensation package including, employer sponsored family included private health insurance, life insurance and private pension benefits,
 </li>
 <li>
 Hybrid working,
 </li>
 <li>
 Performance Reward policy,
 </li>
 <li>
 Transportation and university cafeteria,
 </li>
 <li>
 Meal allowance, communication and internet support for hybrid working days,
 </li>
 <li>
 Opportunity to study a master&rsquo;s degree at the university and Erasmus Staff Mobility Programme,
 </li>
 <li>
 English language course,
 </li>
 <li>
 On-campus healthcare, library,
 </li>
 <li>
 Several discounts including pre-school and SA Group company services,
 </li>
 <li>
 Social clubs and activities.
 </li>
 </ul>
 
 
 
 
 ''Sabanc&inodot; University is committed to the principle of equal opportunity and equal treatment in education and employment. The University respects all individuals without any discrimination of gender, religion, national and ethnic origin, race, color, physical disability, physical appearance, marital or parental status, sexual orientation, age, or political affiliation in the administration of its educational, admission and employment policies, and its scholarship and university-sponsored programs.''
 
</div>

Data Analyst and Scientist

Rollic

<div>
 
 Rollic is an Istanbul-based game developer and publisher.
 
 
 Founded in 2019 and acquired in October 2020 by Zynga, who joined the Take-Two roof as of May 2022.
 
 
 Rollic has over 3.5 billion downloads across its diverse portfolio of games and, thanks to an intensive development process utilizing a massive test pipeline, has a steady cadence of globally hit titles such as
 
 
 Color Block Jam, Timeline Up, Crowd Express: Boarding Puzzle, Hole People, and Knit Out
 
 
 , all of which have gained millions of downloads worldwide within a few months after their release.
 
 
 
 
 
 We are looking for
 
 Data Scientist
 
 ;
 
 
 
 
 
 
 
 
 
 Main Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Using our modern tech stack;
 
 
 AWS, Snowflake, Airflow, Tableau
 
 
 and
 
 
 DBT
 
 
 to develop innovative tools;
 </li>
 <li>
 Developing and maintaining
 
 
 A\B experiment system,
 
 
 </li>
 <li>
 Working closely with gaming teams to craft, test, verify, and implement machine learning models to make our games better,
 </li>
 <li>
 Applying statistical methodologies to evaluate performance and accounting for uncertainties in major initiatives;
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desired Skills and Qualifications
 
 
 
 
 
 <ul>
 <li>
 BS in Computer Science, Math, Statistics, Economics, or related fields; Master or Ph.D.,
 </li>
 <li>
 3+ years of work experience in data science, machine learning, or analytics role,
 </li>
 <li>
 Demonstrated experience with some or all of the following: A\B testing systems, machine learning, statistics, data visualization,
 </li>
 <li>
 Proficient in Python and SQL; Experience in applying machine learning on large datasets, preferably using Snowflake or similar cloud data systems.
 </li>
 <li>
 Strong written and oral communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Discover our perks and benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary to help you reach your highest potential
 </li>
 <li>
 Meal compensation
 </li>
 <li>
 Relocation support to Istanbul
 </li>
 <li>
 State-of-the-art equipment in your welcome package
 </li>
 <li>
 Gaming room &amp; lounge area to relax and recharge
 </li>
 <li>
 A pet-friendly office where your furry friends are welcome
 </li>
 <li>
 Gym area in the Rollic office
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 24/7 online well-being &amp; mental health support
 </li>
 <li>
 Learning &amp; development via Take-Two&rsquo;s employee program
 </li>
 <li>
 A chance to take responsibility and improve your skills continuously.
 </li>
 </ul>
 
 
</div>

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>

ING Türkiye

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 If you think you are the ideal candidate for our &ldquo;
 
 Senior Data Scientist- CRM - Product &amp; Channel Analytics
 
 &rdquo; in our
 
 Chief Analytics Officer Group
 
 in
 
 ING Technology.
 
 
 
 If you are willing to work in a global company with flexible hours in casual dress-code every day, and in flexible places two days a week in our Maslak Headquarters, this is a great opportunity to step up.
 
 
 
 
 
 
 As &ldquo;Senior Data Scientist- CRM - Product &amp; Channel Analytics&rdquo;
 
 , You will be responsible for supporting business units with Data Analysis &amp; Data Science for data driven decision making, building analytic models to respond to business needs for customer based marketing &amp; pricing analytic models.
 
 
 
 
 
 
 If you think you have most of the following qualifications;
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline &ndash; Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree will be a plus)
 </li>
 <li>
 5+ Year Experience in Data Analysis &amp; Data Science &amp; AI
 </li>
 <li>
 3+ year Experience in using machine learning algorithms to develop analytical models (Experience in marketing and sales models (propensity, churn, segmentation) , pricing models and GenAI projects are plus)
 </li>
 <li>
 Expert level hands-on experience in the end to end execution of Data Science &amp; AI projects (including project initiation, data preparation, model development, validation, implementation, continuous monitoring , and supporting effective adoption and usage of AI Models)
 </li>
 <li>
 Expert level experience in Data Analysis
 </li>
 <li>
 Knowledge of Python, SQL or SAS
 </li>
 <li>
 Good command in Office Programs
 </li>
 <li>
 Excellent organizational and analytical skills; detail-oriented and forward thinking,
 </li>
 <li>
 Good at communication and coordination, stakeholder management, teamwork, analytical thinking, highly motivated, flexible, adaptable, resilient &amp; result oriented personality,
 </li>
 <li>
 Highly motivated to improve skills on Data Analytics &amp; Data Science
 </li>
 <li>
 Strong command of programming and modelling techniques, problem solving, communication and multi-tasking skills,
 </li>
 <li>
 Good command of written and spoken Turkish &amp; English.
 </li>
 </ul>
 
 
 
 
 
 If you think you may take charge of the following responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transfer capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Develop complex mathematical models; analyze, process, evaluate large data sets
 </li>
 <li>
 Build an in-depth understanding of the business domain and available data assets
 </li>
 <li>
 Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions
 </li>
 <li>
 Work on projects and exchange experiences, and continuously build methodological knowledge and skills
 </li>
 <li>
 Translate complex datasets into key strategy insight
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Senior Data Scientist- CRM - Product & Channel Analytics

Yıldız Tech

<div>
 
 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 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 / Senior Data Scientist
 
 to shape the vision, define the strategy, and drive the execution of our data-driven initiatives. In this role, you will understand user needs and business objectives, facilitate the development of data models and analytics solutions, and support data-driven decision-making processes.
 
 
 
 
 
 
 
 
 
 
 
 
 What Awaits You, What Will Be Your Responsibilities?
 
 
 
 
 
 <ul>
 <li>
 
 Researching, designing, implementing, and evaluating
 
 machine learning approaches and models.
 </li>
 <li>
 Assisting in analyzing
 
 large datasets
 
 using statistical techniques and machine learning algorithms.
 </li>
 <li>
 Supporting the development, implementation, and evaluation of
 
 predictive models
 
 and
 
 data-driven solutions
 
 to address business challenges.
 </li>
 <li>
 
 Preprocessing and cleaning raw data
 
 to ensure its quality, integrity, and usability for analysis.
 </li>
 <li>
 Applying
 
 data wrangling techniques
 
 to handle missing values, outliers, and inconsistencies in the data.
 </li>
 <li>
 Creating
 
 visualizations, charts, and dashboards
 
 to communicate insights and findings from data analysis effectively.
 </li>
 <li>
 Collaborating with
 
 senior data scientists, analysts
 
 , and
 
 business stakeholders
 
 to understand project requirements and objectives.
 </li>
 <li>
 Contributing ideas and insights to
 
 team discussions
 
 and brainstorming sessions.
 </li>
 <li>
 Staying updated on the latest
 
 trends, tools
 
 , and techniques in
 
 data science
 
 and
 
 machine learning
 
 .
 </li>
 <li>
 Documenting
 
 analysis methods
 
 , findings, and results in clear and concise reports.
 </li>
 <li>
 Preparing
 
 presentations
 
 and
 
 documentation
 
 to communicate project outcomes to stakeholders and team members.
 </li>
 <li>
 
 Deploying machine learning models
 
 into production environments using containerization, orchestration, and model serving frameworks.
 </li>
 <li>
 Exploring, fine-tuning, and applying
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI solutions
 
 to address business needs and automation opportunities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What will be the qualifications we expect from you?
 
 
 
 
 
 <ul>
 <li>
 BS Degree in Statistics, Computer Science/Engineering, Industrial Engineering (or other related engineering fields).
 </li>
 <li>
 Good command of SQL.
 </li>
 <li>
 Strong programming and scripting skills in
 
 Python
 
 (packages: pandas, NumPy, matplotlib, scikit-learn, TensorFlow, PySpark, etc.).
 </li>
 <li>
 Minimum
 
 3 / 5 years of experience
 
 in related fields.
 </li>
 <li>
 Hands-on project experience in some of the following areas:
 </li>
 <li>
 
 Predictive analytics
 
 : cross-sell/up-sell modelling, churn prediction, demand forecasting, time series analysis.
 </li>
 <li>
 
 Customer analytics
 
 : segmentation, recommendation systems.
 </li>
 <li>
 
 AI and machine learning applications
 
 : image processing, natural language processing (NLP).
 </li>
 <li>
 Excellent command of English.
 </li>
 <li>
 Ability to manage a variety of cross-organizational projects (scope, stakeholders, desired outcomes), working closely with a broad range of internal and external teams.
 </li>
 <li>
 Effective communication skills.
 </li>
 <li>
 Analytical perspective.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 The following qualifications are a plus:
 
 
 
 
 
 <ul>
 <li>
 Understanding and hands-on experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 , including
 
 fine-tuning
 
 ,
 
 embedding models
 
 ,
 
 prompt engineering
 
 , or
 
 agent orchestration
 
 (e.g., LangChain, OpenAI APIs, Hugging Face Transformers).
 </li>
 <li>
 Hands-on experience in deploying machine learning models using tools such as
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 CI/CD pipelines
 
 (e.g., Jenkins, GitLab CI).
 </li>
 <li>
 Familiarity with
 
 model serving frameworks
 
 such as
 
 MLflow
 
 ,
 
 FastAPI
 
 , or
 
 TorchServe
 
 .
 </li>
 <li>
 Practical experience with cloud platforms such as
 
 AWS
 
 and/or
 
 Azure
 
 , especially in
 
 infrastructure management
 
 ,
 
 data storage
 
 ,
 
 networking
 
 , and
 
 resource provisioning
 
 (e.g., S3, Blob Storage, EC2, VMs, IAM).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Which skills will highlight you?
 
 
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking skills.
 </li>
 <li>
 Effective communication and collaboration abilities.
 </li>
 <li>
 Ability to manage and prioritize multiple projects and tasks simultaneously.
 </li>
 <li>
 Hands-on experience in
 
 deploying machine learning models
 
 into production environments.
 </li>
 <li>
 Curiosity and practical experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 .
 </li>
 <li>
 Team spirit and leadership in collaborative environments.
 </li>
 <li>
 Proficiency in MS Office applications.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
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