Junior Data Scientist

Posted 6 Days Ago
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Baku
In-Office
Junior
Biotech
The Role
The Junior Data Scientist will build data systems, analyze large datasets, and develop predictive models. Responsibilities also include data cleansing, model preparation, and improving coding skills.
Summary Generated by Built In

Junior 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

Top Skills

Beautifulsoup
Linear Algebra
Numpy
Pandas
Power BI
Python
PyTorch
R
Scikit-Learn
Scrapy
Seaborn
Spotfire
SQL
Tableau
TensorFlow
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The Company
23 Employees
Year Founded: 2021

What We Do

We are a group of engineers and innovators, working together to create and launch ingenious products and companies today for a sustainable tomorrow.

Our vision is to paradigm shift R&D in the country, making it a competitive driver in the transformation of the national economy. With a mission to seed intellectual potential for a sustainable future, eiGroup embraces an integrated approach to research, development, and innovations that results in practical change across education and industries

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