DataObrii

We are seeking a strong middle-level specialist to join our dynamic team in the role of Analytics Engineer / Data Analyst. This position combines data engineering for analytics with business-focused insights
delivery.

Required skills:

• Proven experience in building and maintaining data pipelines and data models.
• Strong SQL skills (optimization, complex queries).
• Good knowledge of Python (pandas, numpy).
• Experience with databases and data warehouses.
• Experience with BI tools.
• Knowledge of statistics and the ability to apply critical thinking.
• Strong attention to detail.
• Basic knowledge of ML concepts (nice to have).

Responsibilities:

• Design, develop, and maintain data pipelines for BI reporting, feature generation, and analytical needs.
• Support and optimize data models used for analytics and reporting.
• Collaborate closely with business stakeholders to understand requirements and translate them into data-driven solutions.
• Deliver clear and actionable analytical insights to Data Science, Engineering, and business teams.
• Monitor data quality and ensure consistency across pipelines and reporting layers.
• Conduct deep-dive analyses on complex business and technical questions.

What We Offer:

• Competitive remuneration package.
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment with direct involvement in business decision-making.
• Flexible working arrangements (remote).

Position Overview

We are seeking an experienced Data Scientist/ML Engineer specializing in neural networks, with 3+ years experience in the applied field. The ideal candidate should be a great mentor and team player; python ninja with a strong background in various neural network architectures (recurrent, convolutional, feedforward, etc.) and a deep understanding of developing, tuning, and deploying different architectures. This role also requires excellent Python programming skills and a solid foundation in data analysis and statistics. If you strive in a fast pace environment, with tight deadlines but fast professional growth, you are welcome in our team!

Key Responsibilities:

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling.
• Provide continuous improvement of models in production
• Lead the ML-driven python coding for end to end model deliveries, support our ML-related libraries/
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists.
• Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general.
• Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders.
• Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organisation and self management to provide a full work clarity, extensive tracking and documentation of your work.

Required Skills and Qualifications:

• Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficient in building custom neural networks using PyTorch.
• Strong experience with various neural network architectures specialised for time-series modelling and tabular data predictive modelling 
• Proficiency with neural network layers (like LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization) and activation functions (ReLU, Sigmoid, Tanh, Softmax).
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy. Knowledge of Darts library would be a large bonus.
• Expertise in model development, including selecting and developing models from the Darts library and building custom neural network architectures.
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap). We want to emphasize this requirement of excellency in python, including good working OOP knowledge. We do noе accept candidates with partial experience in python, as our projects require solid programming skills for writing and supporting data science related functionalities and libraries
• Solid understanding of statistics and data analysis.
• Skilled in using and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Capable of implementing and optimizing training loops in PyTorch, including data loaders and training validation steps.
• Knowledge of time series-specific cross-validation techniques and regularization methods to prevent overfitting.
• Strong skills in evaluating model performance using metrics like MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting functionalities for validating model performance.
• Experience in model deployment, including serialization and deployment of models for real-time services.
• Strong communication skills for presenting findings and progress to stakeholders, using visualizations created with matplotlib, seaborn, or plotly.
• Proficiency in using Git for version control and collaboration.
• Major education in Data Science, Computer Science, or a related field IS A MUST. We do not accept people with other backgrounds.
• Certifications in deep learning are preferred.
• Excellent command of spoken and written English.
• Strong self-management, time management, and organizational skills.

• Ability to work under a structured management system while independently handling creative tasks.

   

What We Offer:

• Competitive remuneration package.
• Bonuses
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.
   

About DataObrii
DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

Our Values:

• Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems.
• Professionalism: Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees.
• Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
• Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
   

Role Overview:
We are seeking a Python Developer with Machine Learning engineering skills and at least one year of professional experience.
In this role, you will work on data processing with pandas and numpy, Redis-based caching, test automation with pytest, and OOP-based Python development. You will also support the integration of machine learning models into production systems. 

This position is ideal for someone who wants to grow their career into ML & ML Ops while gaining hands-on experience in a production environment.

Key Responsibilities:

• Develop and maintain Python modules for data processing and integration.
• Handle structured datasets using Pandas and NumPy.
• Implement and optimise Redis caching for high-performance applications.
• Write unit and integration tests with Pytest to ensure system reliability.
• Apply OOP best practices for scalable, maintainable, and clean code.
• Use Git for version control and collaborative workflows.
• Support integration of ML models into production environments.

• Participate in code reviews, debugging, and documentation.

   

Required Skills and Qualifications:

• 1+ years of professional experience as a Python Developer.
• Practical experience in Machine Learning engineering (e.g., scikit-learn, scikit-learn pipelines)
• Strong understanding of OOP principles.
• Hands-on experience with Pandas and NumPy.
• Familiarity with Redis or other caching technologies.
• Experience writing and maintaining tests using Pytest.
• Proficiency in Git and collaborative development workflows.

• Strong problem-solving skills and eagerness to learn.

   

Preferred (Nice to Have):

• Familiarity with MLOps concepts (deployment, monitoring, pipelines).
• Experience with Docker or cloud platforms (AWS, Azure, GCP).
• Knowledge of CI/CD practices.

About the Project:
We are developing a large-scale insurance pricing optimisation platform that brings together data pipelines, APIs, Redis caching, and MLOps infrastructure to deliver real-time pricing decisions for our partners.

About DataObrii:
DataObrii is a high-tech consulting firm specialising in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, Python engineers, DevOps, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

What We Offer:

• Opportunity to work on a real-world production ML platform.
• Mentorship from senior Data Scientists and ML Engineers.
• Clear growth path into Machine Learning specialisation.
• Fully remote work environment.

• Competitive compensation package.

   

If you are a motivated Python Developer / ML Engineer with 1+ years of professional experience and want to grow your career in Machine Learning, we’d love to hear from you!