eiGroup
Associate Data Scientist
Baku, AZ · Full-time
Sponsorship not specifiedDetected 35 days ago
PythonAlgorithmsMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData AnalysisData ScienceData VisualizationStatisticsResearchCommunicationRemote Sensing
About the role
- 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.
Company info
- DRL LLC About eiGroup At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage.
- Together, we're shaping how innovation takes root in this region - and how it reaches the world.
- 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
- 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.
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