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

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

Soft Nation Technologies

Soft Nation Technologies is looking for Data Scientist to join the teamLocation: Gulshan-e-Iqbal, Karachi Timings: 11am-8pm or 12pm-9:00pmKey Responsibilities:<ul><li>Collect, clean, and analyze structured and unstructured data.</li><li>Develop and maintain AI and ML models, including generative AI.</li><li>Perform ETL processes and automate data workflows.</li><li>Conduct web scraping and data extraction from diverse sources.</li><li>Build analytical reports and visualization dashboards.</li><li>Manage databases and ensure data accuracy.</li><li>Document models, results, and data processes.</li></ul>Required Skills:<ul><li>Proficient in Python, SQL, Pandas, NumPy.</li><li>Strong understanding of machine learning and data preprocessing.</li><li>Familiar with TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience in data visualization tools.</li><li>Knowledge of database systems and ETL pipelines.</li><li>Skills in web scraping and reverse engineering data workflows.</li><li>Strong analytical and problem-solving abilities.</li></ul>Preferred Skills:<ul><li>Exposure to Generative AI tools (OpenAI, Hugging Face, LangChain).</li><li>Understanding of prompt engineering and model evaluation.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Can you join immediately?</li></ul>Experience:<ul><li>Data Scientist : 1 year (Required)</li></ul>Work Location: In person

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Strada

Join us on a journey of endless possibilities
 At Strada , possibility isn’t just a promise – it’s the foundation of everything we do. We believe in unlocking potential for every colleague, creating a journey of growth, discovery, and impact.
 
With the support, resources, and opportunities we provide, you’ll build a fulfilling future – working on meaningful projects that span industries and regions, contributing to outcomes that matter.
 
Strada is a people, payroll, and technology leader simplifying international workforce management. Operating in 180+ countries, we design and deliver people-first solutions powered by cloud-based technology – helping organizations grow and enabling workforces to perform at their best.
 
Learn more at www.stradaglobal.com
 
ROLE : DM Data Scientist
 Data Migration (DM) executes all related activities to implement payroll services for several countries and plays an important role in our projects. All steps are defined in the Global Data Migration Strategy, which is adjusted to client and project requirements, together with the client, Strada’s Program and Project Management, Enterprise Architects and Engineers and the Payroll Lead. The Data Scientist takes part in one of Strada’s new offerings, which is called ‘Data Migration as a Service’. This service will be one of the typical ETL services, which we will provide to our clients, comprising Data Quality Assessment, Data Extraction, Transformation, and Validation. Data Scientists will be responsible to build and develop this service based on the requirements detected during the preparation phase of our projects, outlined, and instructed by the DM Lead, aligned with their Data Scientist Technical Manager; they will build workflows with a tool called KNIME, which will then be executed by a DM Support member or the DM Lead; using this process will ensure data quality during our implementation projects.
 Steps and processes are defined in the data mapping document, based on the Data Dictionary in our Help Center, and the data requirements outlined by the local Payroll experts. Based on experience, Data Scientists will also support data mapping with the client after 3-6 months.
 The DM team consists of different roles and levels; a central Senior DM Lead is accountable for big programs, global strategy and planning, the DM Lead is responsible for the execution, DM Support assists with the volumes. In all projects where our clients require additional service, the Data Scientist will be supporting the other roles within the DM team, and ensure we are meeting KPIs, and the quality threshold agreed in the project.
 
DM Data Scientist – Responsibilities
 Support local Data Migration Workshops with the client if necessary.
 Build, test, and execute data quality assessment report
 Build, test, and execute data extraction and transformation workflows on behalf of the client.
 Assist DM Lead and DM Support on data mapping, data transformation, and errors encountered during this process; identify gaps and issues during build, test, and execution, be proactive to avoid issues.
 Develop and perform DM workflows following the instructions of the DM Lead; follow and development standards in Strada, which can be used for test as well as for Go-Live phases.
 Resolve medium complexity problems related to the functional environment of the applications.
 Respect timelines, be proactive, update deliverable documents and DM trackers where required; liaise with DM Lead to ensure data issues are resolved for next execution, tracked and followed-up.
 Support the Data Scientist Technical Manager building a new offering
 
DM Data Scientist – Requirements
 Bachelor of Engineering preferably in computer science from a reputed college.
 1 to 3 years of experience in ETL or Data Migration using KNIME, Informatica, Alteryx, SAP BODS or any other data transformation tool.
 Has knowledge of Human Resources, TIME, and Payroll concepts, and of the related Data Migration processes.
 Has basic knowledge of HRIS technology, such as Workday, SuccessFactors, Oracle, SAP Human Resources, Peoplesoft, and Payroll (SAP PY, PT, FIORI).
 Advanced Microsoft Excel skills, MS Access, or similar tools.
 Knowledge and experience with some of the following technologies: Web Methods, SQL, XSLT, Java, Webservices, Python; integration technologies such as SAP XI/PI not required but good to have.
 Knowledge of AI Tools and technology will be added advantage .
 Is a team player.
 Can work on multiple projects simultaneously, and willing to work in shifts.
 Has a passport and is willing to travel for business purposes.
 High level of English is required.
 Willing to work in shifts.
 
At Strada, our values guide everything we do: 
Anticipate Customer Needs – We stay ahead of trends so our customers can grow and succeed.
 Own the Outcome – We take responsibility for delivering excellence and ensuring things get done right.
 Challenge Ourselves to Work Smarter – We move faster than the world around us to drive change and accomplish more.
 Empower Each Other to Solve Problems – We tackle challenges head on, ask tough questions, and collaborate to find the best solutions.
 Care About Our Work – We understand that what we do impacts millions, and we have a responsibility to get it right.
 
Benefits
 At Strada, we support your whole self—offering a range of benefits for your health, wellbeing, finances, and future. These include health coverage, wellbeing programs, paid leave (vacation, sick, parental), retirement plans, learning opportunities, and more.
 All offers are contingent on successful completion of background checks, where permitted by law and as appropriate for the role. These may include identity, education, employment, and in some cases, criminal history verification, checks against global watchlists, credit reports, and/or drug testing. You’ll be informed of the specific checks applicable to your role and location during the recruitment process.
 Our commitment to Diversity and Inclusion
 Strada is dedicated to fostering a diverse, equitable, and inclusive workplace where everyone feels valued and supported. We believe that embracing differences strengthens our teams and drives innovation and success.
 
Diversity Policy Statement
 Strada is an Equal Opportunity Employer and prohibits discrimination based on legally protected characteristics. We provide reasonable accommodations for disabilities and religious practices. Applicants may request reasonable accommodation by contacting their recruiter.
 
Authorization to work in the Employing Country
 To be considered, you must have current and future work authorization in the country where you're applying, without the need for visa sponsorship by Strada.
 Please note: This job description does not limit Strada’s right to assign or reassign responsibilities, including to subsidiaries, partners, or future business purchasers.
 
We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
 
DISCLAIMER: 
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Strada business units. .

Farmdar

<div>
 
 
 Job Description for Data Scientist
 
 
 
 
 
 
 
 What is Farmdar?
 
 
 
 Farmdar is an agritech company using AI and space technologies at scale for sustainable agriculture and climate adaptation. Our products&mdash;CropScan, YieldPro, and AgriChain&mdash;deliver actionable insights to farmers and agribusinesses, helping them increase yields, reduce input costs, and build climate resilience. Our mission is to become the world&rsquo;s most trusted crop insights platform.
 
 
 
 
 
 
 Job Title:
 
 Data Scientist
 
 
 
 Job Type:
 
 Permanent
 
 
 
 Location:
 
 Lahore - Hybrid
 
 
 
 
 
 
 Role Overview:
 
 
 
 We&rsquo;re looking for a
 
 Data Scientist specialized in geospatial analytics and agritech
 
 to help transform satellite imagery and geospatial data into actionable agricultural insights. This role sits at the intersection of
 
 remote sensing, data science, and agronomy
 
 , and is ideal for someone who thrives in a
 
 startup environment
 
 , comfortable taking ownership, iterating fast, and delivering high-impact solutions that drive product and business outcomes.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Collection &amp; Management
 
 
 <ul>
 <li>
 Acquire, process, and organize satellite imagery and other geospatial datasets.
 </li>
 <li>
 </li>
 <li>
 Collaborate with internal teams and external providers to ensure data quality, completeness, and consistency.
 </li>
 </ul>
 <li>
 </li>
 
 
 Exploratory Data Analysis
 
 
 <ul>
 <li>
 Perform statistical analyses and visual explorations of large-scale geospatial datasets to uncover trends, patterns, and anomalies.
 </li>
 <li>
 </li>
 <li>
 Detect and address data quality issues early in the pipeline.
 </li>
 </ul>
 <li>
 </li>
 
 
 Feature Engineering &amp; Algorithm Optimization
 
 
 <ul>
 <li>
 Derive and optimize geospatial features (e.g., NDVI, EVI, soil indices) from remote sensing data for predictive modeling.
 </li>
 <li>
 </li>
 <li>
 Enhance the scalability and performance of analytical workflows dealing with large imagery datasets.
 </li>
 </ul>
 <li>
 </li>
 
 
 Data Visualization &amp; Reporting
 
 
 <ul>
 <li>
 Build intuitive visualizations, dashboards, and analytical reports to communicate findings to both technical and non-technical audiences.
 </li>
 <li>
 </li>
 <li>
 Present key insights and recommendations to leadership, product, and agronomy teams to inform decision-making.
 </li>
 </ul>
 <li>
 </li>
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Work closely with agronomists, software engineers, and product managers to design data-driven solutions for real-world agricultural challenges.
 </li>
 <li>
 </li>
 <li>
 Translate technical outputs into actionable agronomic and business insights.
 </li>
 </ul>
 <li>
 </li>
 
 
 Research &amp; Innovation
 
 
 <ul>
 <li>
 Stay updated on advances in remote sensing, GIS, computer vision, and agritech applications.
 </li>
 <li>
 </li>
 <li>
 Experiment with emerging tools and methodologies to improve data accuracy, feature extraction, and insight generation.
 </li>
 </ul>
 <li>
 </li>
 
 
 Quality Assurance
 
 
 <ul>
 <li>
 Validate models and analytics for accuracy, reliability, and reproducibility.
 </li>
 <li>
 </li>
 <li>
 Implement QA processes to maintain high data integrity and regulatory compliance.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, Computer Science, Geoinformatics, Statistics
 
 , or a related field.
 </li>
 </ul>
 <li>
 </li>
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 and core data science libraries (
 
 NumPy, pandas, scikit-learn, TensorFlow, PyTorch
 
 ).
 </li>
 <li>
 </li>
 <li>
 Hands-on experience with
 
 geospatial data tools and libraries
 
 (e.g.,
 
 GDAL, rasterio, shapely, geopandas
 
 ).
 </li>
 <li>
 </li>
 <li>
 Familiarity with
 
 remote sensing data
 
 (multispectral, hyperspectral, radar) and
 
 vegetation indices
 
 (NDVI, EVI, SAVI, etc.).
 </li>
 <li>
 </li>
 <li>
 Understanding of
 
 coordinate reference systems, projections
 
 , and geospatial data formats.
 </li>
 </ul>
 <li>
 </li>
 
 
 Analytical &amp; Problem-Solving Skills
 
 
 <ul>
 <li>
 Solid foundation in
 
 statistics, probability, and linear algebra
 
 .
 </li>
 <li>
 </li>
 <li>
 Ability to handle, analyze, and interpret
 
 large and complex geospatial datasets
 
 .
 </li>
 </ul>
 <li>
 </li>
 
 
 Domain Knowledge
 
 
 <ul>
 <li>
 Background or exposure to
 
 agriculture, agronomy, or environmental science
 
 is highly preferred.
 </li>
 <li>
 </li>
 <li>
 Familiarity with
 
 crop phenology, soil science, or climate modeling
 
 is a strong plus.
 </li>
 </ul>
 <li>
 </li>
 
 
 Soft Skills &amp; Mindset
 
 
 <ul>
 <li>
 Excellent communication skills with the ability to explain complex concepts clearly.
 </li>
 <li>
 </li>
 <li>
 Proven ability to collaborate across interdisciplinary teams.
 </li>
 <li>
 </li>
 <li>
 
 Startup mindset:
 
 proactive, ownership-driven, and adaptable in a fast-changing environment.
 </li>
 <li>
 </li>
 <li>
 Strong organizational skills and the ability to manage multiple projects simultaneously.
 </li>
 <li>
 </li>
 <li>
 Commitment to continuous learning and professional growth in agritech and data science.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Provider:
 
 
 
 At Farmdar, we believe in creating an environment where everyone has an equal chance to contribute, grow, and succeed. We want all colleagues to feel welcome and comfortable in the workspace. We discourage discrimination of any kind and encourage respect among our fellow colleagues. Our recruitment process is fair for all, regardless of race, age, gender, color, religion, social status, disability or ethnicity.
 
 
 
</div>

Frozzeto

Job Title: Freelance Data Scientist (6&ndash;7 Years Experience)Location: Remote Job Type: Freelance / Contract Experience Required: 6&ndash;7 yearsWe are seeking an experienced Freelance Data Scientist with strong analytical, statistical, and model-building experience to support our data-driven projects. The ideal candidate will work independently, deliver high-quality insights, and build scalable models that support business decisions.Key Responsibilities<ul><li>Analyze large datasets and uncover actionable insights to support business objectives.</li><li>Develop, train, test, and deploy machine learning models (classification, regression, NLP, forecasting, etc.).</li><li>Build statistical models and run A/B testing, hypothesis testing, and data validation.</li><li>Clean, transform, and organize structured and unstructured datasets.</li><li>Develop automated pipelines for data processing and model deployment.</li><li>Work closely with internal stakeholders to understand project requirements and deliver solutions within timeframes.</li><li>Create data dashboards, visualizations, and reports to present findings clearly.</li><li>Ensure data quality, privacy, and compliance across all solutions.</li></ul>Required Skills &amp; Qualifications<ul><li>6&ndash;7 years of experience as a Data Scientist / Machine Learning Engineer.</li><li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</li><li>Experience in SQL, data warehousing, and working with large datasets.</li><li>Strong background in machine learning, statistics, and predictive modeling.</li><li>Hands-on experience with ETL pipelines and MLOps tools (Docker, MLflow, Airflow, etc. preferred).</li><li>Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.</li><li>Ability to work independently as a freelancer and meet strict deadlines.</li><li>Excellent problem-solving skills and communication abilities.</li></ul>Preferred Qualifications<ul><li>Experience working with cloud platforms (AWS, GCP, Azure).</li><li>Knowledge of NLP, time-series forecasting, and recommendation systems.</li><li>Prior experience working with startups or remote teams.</li></ul>Contract Details<ul><li>Type: Freelance / Project-based</li><li>Duration: Based on project scope (extendable)</li><li>Compensation: Competitive, based on experience and deliverables</li><li>Working Hours: Flexible / Remote</li></ul>Job Types: Contractual / Temporary, Freelance Contract length: 6 monthsWork Location: Remote

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