Our Expert Team

Mustafa Gökçe Baydoğan, PhD

Founder

Word from Founder

At Algopoly, our journey is guided by a relentless pursuit of excellence in energy forecasting. Since our establishment in 2017, we have been dedicated to transforming the energy industry with innovative solutions based on advanced machine learning and data analytics that form the core of our Customized Intelligence Model. Our commitment to precision has earned us an impressive 97.5% customer retention rate, a testament to our customers’ trust and satisfaction.

Our mission is simple yet profound: to provide accurate, customized energy forecasting that drives our customers towards operational efficiency and sustainability. We take great pride in our ability to deliver a remarkable 16.78% cost optimization for our customers, demonstrating our expertise in optimizing energy management and increasing value.

Our solutions are not just about numbers; they are about making a tangible impact. With a comprehensive portfolio forecast of 8GW, we are at the forefront of renewable energy operations, driving success and supporting the shift to a more sustainable future.

As we look ahead, our vision remains focused on leading the way in energy forecasting. We are committed to promoting sustainability and advancing the global transition to renewable energy.

Thank you for being part of our journey. Together, we are building the future of energy through our unwavering commitment to precision, innovation and excellence.

Warm regards,

Mustafa Gökçe Baydoğan
Founder, Algopoly

Our Expert Team

Mustafa Gökçe Baydoğan, Phd

Founder

Burak Tabak

Data Scientist

Dorukhan Kılınç

Data Scientist

Doğanay Özese

Data Scientist

Erdi Daşdemir, PhD

Academic Advisor

M. Hakan Kurtulmuş

Data Analyst

İrem Öztürk

Data Scientist

Ömer Faruk Çiftçi

Optimization Data Scientist

Selahattin Seha Cirit

Meteorological Data Scientist

Uğur Parkın

Data Scientist

Career

Working at Algopoly means being part of a dynamic and forward-thinking team. We offer a flexible working environment, competitive compensation and benefits that support your well-being and work-life balance. We value diversity and are committed to creating an inclusive environment where everyone can develop.

We are always looking for talented individuals to join our team. Explore our current job openings below and

find the perfect opportunity that matches your skills and ambitions:

  • Data Scientist

    If you are interested in Data Scientist position, send us your information. We will be glad to meet you.

    Data Scientist

    Role Overview

    You will develop advanced machine learning models, analyze complex datasets and create accurate forecasts to help our customers optimize energy management and achieve their sustainability goals.

    Key Responsibilities

    • Develop Models: Build and improve machine learning models for load and demand forecasting using various data sources for maximum accuracy.
    • Analyze Data: Pre-process and analyze large datasets to provide high-quality data for forecasting.
    • Innovate: Apply the latest algorithms to improve forecast accuracy and reliability.
    • Collaborate: Work closely with cross-functional teams to integrate models into our SaaS platform and tailor solutions to customer needs.
    • Monitor and Optimize: Continuously monitor model performance and make necessary adjustments for optimal results.

    Qualifications

    • Education: Master’s or PhD in Data Science, Statistics, Computer Science or a related field.
    • Skills: Proficient in Python, R and machine learning frameworks Experience in energy forecasting is a plus.
    • Analytical Skills: Strong problem solving skills and ability to work with complex datasets.
    • Teamwork: Effective communicator with a collaborative mindset.

    What We Offer

    • Effective Work: Contribute to a sustainable energy future.
    • Growth: Access to learning opportunities and professional development.
    • Innovation: A dynamic and creative work environment.
    • Remuneration: Competitive salary, benefits and flexible working hours.