- Location
- Baku, AZ
- Type
- Full-time
- Department
- Education
- Seniority
- Entry
- Experience
- 1+ years
- Source
- Breezy HR
Description
Associate Data Scientist
Location: Baku, Azerbaijan
Type: Full-time
Candidate type: Locals
Company: DRL LLC
About eiGroup
At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage.
We’re an R&D and Innovation Venture Studio that transforms human ingenuity into technological value that scales.
Our ecosystem brings together researchers, engineers, and creators who turn complex challenges into scalable products - from subsurface imaging to AI-driven analytics, from remote sensing to digital transformation.
Our ventures are built in-house, born from research, and grown into independent companies.
Together, we’re shaping how innovation takes root in this region - and how it reaches the world.
What You’ll Do
• Build data systems and pipelines for data collection. Combine raw information from different sources.
• Processing, cleansing, and validating the integrity of data to be used for analysis. Explore ways to enhance data quality and reliability
• Analyze huge amounts of data, both structured and unstructured raw data. Interpret trends and patterns.
• Conduct complex data analysis and report on results and present data using various data visualization techniques and tools.
• Prepare data for prescriptive and predictive modeling including machine learning models.
• Build algorithms and prototypes
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Continually improving coding skills
What You Bring
• Degree in Computer Science, Physics or Petroleum Engineer; a Master’s is a plus
• Minimum 1 year experience as a data engineer/scientist or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques.
• Ability to compose pipelines for data science models.
• Knowledge of Machine Learning techniques, including decision tree learning, clustering, artificial neural networks, etc., and their pros and cons
• Data Wrangling – proficiency in handling imperfections in data.
• Programming Skills – good knowledge of statistical programming languages like R, Python, and hands on experience database query languages like SQL.
• Proficiency in essential Python libraries - NumPy, pandas, scikit-learn, TensorFlow/PyTorch, seaborn, and BeautifulSoup/Scrapy for web scraping when necessary.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
• Basic Math Skills (Linear Algebra) - understanding the fundamentals of Linear Algebra.
• Knowledge with Timeseries data analysis and modelling.
• Knowledge with regular expressions.
• Knowledge with Data Visualization Tools like Power BI, Spotfire, Tableau, matplotlib, etc.
• Great numerical and analytical skills
• Excellent Communication Skills –efficiently communicating with both a technical and non-technical audience.
Our benefits include:
- Medical insurance (family coverage)
- Flexible working hours
- Wellness program
- Childcare support
- Company-provided lunch
