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Data Science Developer: Modeling
MAKERS s. r. o.
Place of work
Remote work
Remote work
Contract type
full-time, agreement-based (Temporary jobs)
full-time, agreement-based (Temporary jobs)
Start date
ASAP based on mutual agreement
ASAP based on mutual agreement
Wage (gross)
From 2 000 EUR/monthBasic salary: 2000 - 4500 eur based on skills/level of experience
From 2 000 EUR/monthBasic salary: 2000 - 4500 eur based on skills/level of experience
Information about the position
Job description, responsibilities and duties
YOUR DAILY JOB AND RESPONSIBILITIES:
Turn specifications/requirements into software designs often within an existing tech stack.
Application and feature development while writing efficient, reliable, and maintainable code.
Troubleshooting, debugging, maintaining and improving existing software.
Develop and integrate machine learning, optimization and analytic algorithms into production modeling environments.
Gather and characterize data inputs and outputs for the models.
Help with testing and continuous improvement of the models.
Work with Software Engineers to integrate the modeling code into the software stack.
Turn specifications/requirements into software designs often within an existing tech stack.
Application and feature development while writing efficient, reliable, and maintainable code.
Troubleshooting, debugging, maintaining and improving existing software.
Develop and integrate machine learning, optimization and analytic algorithms into production modeling environments.
Gather and characterize data inputs and outputs for the models.
Help with testing and continuous improvement of the models.
Work with Software Engineers to integrate the modeling code into the software stack.
Employee perks, benefits
Result-oriented company - we care about results, not hours. We support each other to reach goals.
Interesting job and projects - we work in emerging business and technologies, mostly for foreign customers in the USA and Europe.
Learn by experience - you will work with experienced players who love to move forward.
Remote-first job - work from wherever you want, our office is a social space, not a mandatory place to work.
Flexible time hours - no attendance system or anything similar, choose your time when you work and are productive.
We like your growth - we care about people in the company, each person has his own growth plan, performance feedback twice per year with engineering level, and rate re-evaluation.
We love to learn - Coursera for free, certifications paid and our own internal workshops
Transparent environment - we believe in transparency and give our people the possibility to shape the company as their own.
Interesting job and projects - we work in emerging business and technologies, mostly for foreign customers in the USA and Europe.
Learn by experience - you will work with experienced players who love to move forward.
Remote-first job - work from wherever you want, our office is a social space, not a mandatory place to work.
Flexible time hours - no attendance system or anything similar, choose your time when you work and are productive.
We like your growth - we care about people in the company, each person has his own growth plan, performance feedback twice per year with engineering level, and rate re-evaluation.
We love to learn - Coursera for free, certifications paid and our own internal workshops
Transparent environment - we believe in transparency and give our people the possibility to shape the company as their own.
Requirements for the employee
Candidates with education suit the position
University education (Master's degree)
Educational Specialization
Information Technology or similiar
Language skills
English - Upper intermediate (B2)
Other knowledge
Python - Advanced
Django - Skillful
Pandas - Skillful
NumPy - Skillful
Jupyter Notebook - Skillful
GIT - Skillful
Time-series data - Skillful
Agile software development - Skillful
Django - Skillful
Pandas - Skillful
NumPy - Skillful
Jupyter Notebook - Skillful
GIT - Skillful
Time-series data - Skillful
Agile software development - Skillful
Number of years of experience
3
Personality requirements and skills
MUST HAVE:
Strong python design and development skills including modeling libraries and frameworks such as pandas, numpy, scipy, etc.
Structured software development experience including Agile software development processes.
Ability to design scalable, performant and resilient software applications based on business and technical requirements often within an existing tech stack.
Experience with data science project workflows (problem definition, data gathering/cleansing/engineering; exploratory analysis, feature/model algorithm selection, training/tuning, evaluation, etc.).
Experience in the manipulation and analysis of large data sets and time-series data.
Familiarity with prototyping in Jupyter notebooks.
Experience working with SCM (git).
SHOULD HAVE:
Experience building, maintaining and improving optimization models (e.g., LPs, MILPs and open-source solvers); preferably in the energy sector.
Familiarity with subset of topics within ML (e.g., tree based methods, simple and complex regression models, SVMs, RNNs, clustering, dimensionality reduction, etc.)
Involvement with physical/statistical model development.
Analytical, problem solving skills with attention to detail.
Proven ability to learn quickly and works well both independently and in a (distributed) team setting.
Ability to take responsibility for high-level requirements and their implementation.
COULD HAVE:
Experience working with data visualization with packages such as plotly or plotly-dash.
Experience working with Docker and Kubernetes and cloud systems such as GCP.
Knowledge of the energy industry - familiarity with energy markets, renewables, distributed energy resources and building optimization.
Ability to present and communicate results to technical and non-technical audiences.
Strong python design and development skills including modeling libraries and frameworks such as pandas, numpy, scipy, etc.
Structured software development experience including Agile software development processes.
Ability to design scalable, performant and resilient software applications based on business and technical requirements often within an existing tech stack.
Experience with data science project workflows (problem definition, data gathering/cleansing/engineering; exploratory analysis, feature/model algorithm selection, training/tuning, evaluation, etc.).
Experience in the manipulation and analysis of large data sets and time-series data.
Familiarity with prototyping in Jupyter notebooks.
Experience working with SCM (git).
SHOULD HAVE:
Experience building, maintaining and improving optimization models (e.g., LPs, MILPs and open-source solvers); preferably in the energy sector.
Familiarity with subset of topics within ML (e.g., tree based methods, simple and complex regression models, SVMs, RNNs, clustering, dimensionality reduction, etc.)
Involvement with physical/statistical model development.
Analytical, problem solving skills with attention to detail.
Proven ability to learn quickly and works well both independently and in a (distributed) team setting.
Ability to take responsibility for high-level requirements and their implementation.
COULD HAVE:
Experience working with data visualization with packages such as plotly or plotly-dash.
Experience working with Docker and Kubernetes and cloud systems such as GCP.
Knowledge of the energy industry - familiarity with energy markets, renewables, distributed energy resources and building optimization.
Ability to present and communicate results to technical and non-technical audiences.
Advertiser
Brief description of the company
The story of MAKERS began in 2017 when our 4 founders decided to start a company together which would combine their professional fields and offer tailored IoT solutions for customers. Nowadays we are a growing company which has profiled itself as technological company offering IoT solutions for energy sector.
You will work with us with our US partner on a product to unlock new revenue for real estate owners by transforming their buildings into power plants and connecting them to new energy markets and customers. You wil tackle tasks related to creating 21st-century deployments, ensuring smooth operation, securing the whole ICT, and always look forward to improving solutions to the Infrastructure problems.
Who we are?
A team of creative technologists united by a passion for creating amazing solutions, products and providing services in the area of the Internet of Things. We are a bunch of people with different interests, cultures and backgrounds, but we’re united by a common set of values:
1.Be fair to others and communicate with respect
2.Use empathy and fellowship to create an extraordinary team
3.Deliver results that will make you proud
4.Keep value to what you do
5.Career growth is associated with taking responsibility
6.Never be satisfied, be curious and experiment
7.Be transparent, keep promises and build trust
8.Be positive. Even if you fail.
You will work with us with our US partner on a product to unlock new revenue for real estate owners by transforming their buildings into power plants and connecting them to new energy markets and customers. You wil tackle tasks related to creating 21st-century deployments, ensuring smooth operation, securing the whole ICT, and always look forward to improving solutions to the Infrastructure problems.
Who we are?
A team of creative technologists united by a passion for creating amazing solutions, products and providing services in the area of the Internet of Things. We are a bunch of people with different interests, cultures and backgrounds, but we’re united by a common set of values:
1.Be fair to others and communicate with respect
2.Use empathy and fellowship to create an extraordinary team
3.Deliver results that will make you proud
4.Keep value to what you do
5.Career growth is associated with taking responsibility
6.Never be satisfied, be curious and experiment
7.Be transparent, keep promises and build trust
8.Be positive. Even if you fail.
ID: 4464078
Dátum zverejnenia: 10.11.2022
2022-11-10
lokalita: Remote work Pozícia: Programmer Spoločnosť: MAKERS s. r. o.
Základná zložka mzdy (brutto): 2 000 EUR/month