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postes à Turquie

Data Scientist/Junior Data Scientist

Enerjisa Üretim

Ataşehir
Hybride
TRY 1 694 000 - 2 542 000
Il y a 25 jours
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Data Scientist/Junior Data Scientist
Enerjisa Üretim
Ataşehir
Hybride
TRY 1 694 000 - 2 542 000
Plein temps
Il y a 25 jours

Résumé du poste

A leading energy company is seeking a Data Scientist/Junior Data Scientist to join their İstanbul Ataşehir Head Office. This role involves developing quantitative solutions in energy generation and trading, requiring expertise in Python, R, and machine learning. The company offers a hybrid working model and various attractive benefits, including support for Master’s degrees and wellness programs.

Prestations

Hybrid Working Model
Master’s Degree Support
Flexible Benefits
Child & Pet-Friendly Policies
Collective & Special Leave Options
Learning & Development Programs
Power MBA Development Program
Social Activity Clubs
Healthy Living Services
Parent Support Program
Private Pension Plan
Private Health and Life Insurance
Sabancı Life Privileges

Qualifications

  • 1-2 years experience in related fields.
  • Hands on experience with data science projects from requirement specification to deployment.
  • Experience with machine learning models.

Responsabilités

  • Develop quantitative solutions for energy generation and trading.
  • Develop statistical forecasting models and optimization algorithms.
  • Build decision support systems from scratch.
  • Perform data analysis and visualization.
  • Track and maintain existing products.
  • Collaborate with teams for model development.

Connaissances

Applied statistics
AI
Machine learning
Python
R
Optimization algorithms
SQL
Cloud environment
DevOps tools (GitHub, Docker)
Fluent in English

Formation

Bachelor's or Master's Degree in related field

Outils

XPRESS
CPLEX
GUROBI
Optimization focused Python libraries (xpress, pulp, pyomo)
Description du poste

We are looking for a Data Scientist/Junior Data Scientist to join our team in İstanbul Ataşehir Head Office.

At Enerjisa Üretim, 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 — and we’re already shaping tomorrow’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 — 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:
  • 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
  • At least 1-2 years experience on related fields
  • Hands on experience with data science projects — from requirement specification till deploying, maintaining, and improving production-ready solutions
  • Hands on experience on real-world optimization problems and ability to develop large optimization algorithms or heuristics to solve these problems
  • Hands on experience in scripting languages Python and R
  • Experience of coding in optimization tools as XPRESS, CPLEX or GUROBI or optimization focused Python libraries as xpress, pulp, pyomo
  • Experience with machine learning models
  • Experience on data consumption methods (SQL, API, Azure Service Bus)
  • Experience with cloud environment is a plus
  • Experience with DevOps tools (GitHub, Docker) is a plus
  • Knowledge of Turkish energy sector is a plus
  • Fluent in English
Job Descriptions:
  • Developing quantitative solutions centered around energy generation, trading, and derivatives
  • Developing statistical forecasting models, simulation tools, optimization algorithms and mathematical models for stochastic processes
  • Building decision support systems from scratch
  • Performing fundamental data analysis and data visualization
  • Performance tracking and maintaining the existing products
  • Collaborating with backend, frontend, data engineering, product and business teams for model development and implementation by regarding the secure software development cycle
What Awaits You at Enerjisa Üretim?
  • Hybrid Working Model
  • Master’s Degree Support
  • Flexible Benefits (With our "Sana Göre" program, you can customize your benefits based on your individual needs and preferences)
  • Child&Pet-Friendly Policies
  • Collective&Special Leave Options
  • Learning&Development Programs and LinkedIn Learning Membership
  • Power MBA Development Program (In collaboration with Sabancı University Executive Development Unit – offering training opportunities in energy markets, generation technologies, data analytics, strategy, finance, and more)
  • Social Activity Clubs (Sports, arts, travel, gastronomy)
  • Healthy Living Services (Fitness trainers, dietitian support, and wellness programs)
  • Parent Support Program (Includes support from nurses, dietitians, psychologists, and coaches from pregnancy through postpartum)
  • Private Pension Plan (with company Contributions)
  • Private Health and Life Insurance
  • Sabancı Life Privileges (Exclusive offers in shopping, travel, technology, wellness, and more)

👉Click Here To Watch Our Office Promotional Video

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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