Data Scientist (İstanbul/Ankara)

TRB 360; Pendik; On-site; TRY 300,000 - 400,000; Full time

Job summary

A data-driven startup is seeking a passionate Data Scientist to analyze complex datasets and drive strategic decisions. You will work collaboratively to develop innovative solutions and build predictive models. Candidates should have a strong background in SQL, Python, and a STEM degree. This position requires excellent problem-solving skills and the ability to work independently.

Qualifications

• Strong knowledge of SQL and Python.
• Experience with cloud data warehouse.
• Excellent analytical thinking and problem-solving skills.

Responsibilities

• Analyze and interpret complex datasets.
• Collaborate with cross-functional teams.
• Build predictive models and communicate insights.

Skills

SQL

Python

Mathematical Modeling

Operations Research

Statistical approaches

Attention to detail

Problem-solving

Communication skills

Education

University degree in STEM field

Tools

Snowflake

BigQuery

PySpark

Airflow

Tableau

R

GAMS

Job description

We are hiring a Data Scientist for our AI-based oil & gas trading and hedging startup.

Ankara

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.

Responsibilities

• Strong knowledge of SQL and Python; excited to learn new languages when needed
• Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus
• Excellent attention to detail, natural curiosity and ability for creative problem-solving
• Strong written and oral communication skills
• Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment
• Excellent analytical thinking / problem solving skills and attention to detail
• Ability to deal with ambiguity in defining activities and direction with good planning skills
• Strong background in Mathematical Modeling, Operations Research, Statistical approaches
• University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
• Experience with statistical packages such as Python, R, GAMS and SQL is a big plus

Preferred Qualifications

• Experience with PySpark, Airflow, Tableau
• Experience with software implementation