DataObrii

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.
   

Position Overview

DataObrii, a dynamic Data Science company based in the UK, is seeking an experienced Project Manager/Team Lead (Data Science) to join our team full-time remotely. We are looking for candidates with strong technical expertise in data science (!) who are adept at project-centric approaches and fostering growth opportunities for both projects and technical aspects. In this position you will be pivotal in overseeing and managing Data Science projects, ensuring their successful delivery within scope, timeline, and budget. 

Key Responsibilities:

• Prioritize and plan task execution, ensuring alignment with project objectives and timelines.
• Help to solve technical issues and unblock project members, helping to solve and guide the team through various complex day-to-day challenges in data science
• Coordinate project team members, distribute workload effectively, and assign tasks based on expertise and capacity.
• Verify completed tasks to ensure compliance with project requirements and quality standards.
• Utilize management tools to track project progress against established timelines, making adjustments as needed to maintain schedule adherence.
• Identify and address issues or obstacles during project execution.
• Monitor work performance, identify areas for improvement, and implement optimizations using Monday dashboards.
• Communicate project progress, updates, and risks to senior management through regular and concise reporting.
• Maintain accurate and up-to-date project documentation to facilitate transparency and knowledge sharing among team members.

• Foster a healthy work environment, promoting teamwork and collaboration among team members.

   

  Required Skills and Qualifications:

1. At least 2 years of proven full-time experience working as a Data Scientist/Team Lead in Data Science.
2. Proficiency in conducting and managing Data Science projects.
3. Strong technical expertise:

• Proficiency in building custom neural networks using PyTorch or TensorFlow.
• Experience with tree-based models.
• Strong expertise with various neural network architectures (recurrent, convolutional, feedforward, etc.).
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap).
• Solid understanding of statistics and data analysis.
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy, and Darts.
• Proficiency with neural network layers (e.g. LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization, residual layers) and activation functions (ReLU, Sigmoid, Tanh, Softmax, etc.).
• Skilled in using and tuning loss functions such as MSE, MAPE and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Strong skills in understanding and 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 serialisation and productionising models for real-time data streams.
• Proficiency in using Git for version control and collaboration.

4. Practical experience with different team management methods and frameworks.

5. Solid knowledge of the software development life cycle processes and procedures.

6. Knowledge of project documentation principles.

General:

• Bachelor's degree or higher in Computer Science, Information Technology or a related field.
• Strong problem-solving skills, with the ability to anticipate risks and difficulties in advance.
• High level of self-organization and time management.
• Attentiveness and attention to detail.
• Excellent communication and reporting skills, with the ability to convey complex information concisely and effectively.
• Ability to build long-term relationships with team members.
• Good command of spoken and written English.

What We Offer:

• At DataObrii, we offer competitive wages that reflect your expertise and commitment, ensuring that your efforts are valued and appreciated.
• We provide the flexibility to work from anywhere. Work from the comfort of your home while staying connected with a collaborative and supportive team.
• You will lead and manage projects that challenge your skills and expand your knowledge. 

About DataObrii

DataObrii is a young company, which is dealing with the development of computational systems for machine learning and big data analysis.

Our focus is on real-world problems and real-world solutions. The keys to our success are our focus on continuous improvement of our employees and our company, our dedication to keeping up with current and emerging technologies, and our commitment to delivering complete solutions.

Company website:

dataobrii.com

Position Overview

We are seeking an experienced Data Scientist specializing in neural networks. The ideal candidate will have 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:

• Develop and implement bespoke data science solutions and machine learning models.
• Plan and implement algorithms for predictive modeling.
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers, data analysts, and DevOps specialists.
• Provide expertise in tuning loss functions, metrics, sample weights adjustment.
• Contribute to resolving clients' business problems using data science tools and algorithms.

Required Skills and Qualifications:

• Minimum of 2 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 nto accept candidates with partial experience in python, as our projects require solid 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 productionizing models for real-time data streams.
• 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.
• 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.