About the job At Sensorfact, our mission is to reduce the human environmental footprint by eliminating all waste in the industry. We help our customers gain real-time insights into their operations through high-resolution, machine-level sensors that monitor electricity, gas, water, compressed air, production speed, and machine health.As a Senior Data Scientist, you will play a key role in transforming raw sensor data into valuable insights. You will design heuristics and algorithms that enrich this data in real time, empowering customers to better understand and optimize their processes. On top of that, you will develop models that generate actionable and personalized advice.  You’ll be involved in every step of the development process: from data quality checks for new sensor types to deploying and maintaining prediction pipelines. With data at the core of our platform, you will be a vital member of a cross-disciplinary team driving meaningful impact.The key technologies you will be working withOur current AWS stack is focused on ingesting and processing raw sensor data in real time using Kafka and Flink. Processed sensor data is stored in Clickhouse, other types of data live in Postgres. Batch processing is done using Prefect and Fargate, on-demand services are deployed using Lambda. We have a powerful internal GraphQL API to expose data to end users, managed by Hasura. As a data scientist you will use Poetry for package management and Gitlab CI/CD to test, build and deploy our code. You can spin up a fresh Fargate cluster at any time and parallelize your workload using Dask.How we do itWe do Scrum with 2-week sprints, sprint planning and retrospective sessions. We have daily stand ups over Google Meet. The course is determined by quarterly goals, set collaboratively by business, data, development and product teams.We know how important it is to get in the zone and write beautiful code so we try to keep meeting pressure low. We work from home about 70% of the time, but we enjoy meeting each other in the office regularly. What you will do: <ul><li>You will be part of our Predictive Maintenance Product Team, where you will iterate on our models to flag and classify early signs of machine degradation.</li><li>You will be responsible for enriching our sensor data, transforming raw measurements into interpretable features, and designing algorithms to convert this data into actionable and personalized advice.</li></ul><ul><li>You will work closely with our Data Engineers to create deployable artifacts which will continuously generate insights across our customer base in a mix of streaming and batch applications.</li><li>We have many different skills and personalities in the team, and promote an open and collaborative working environment. You are encouraged to work together on complex tasks, to give feedback when you can and actively think about your personal development.</li><li>Being part of a fast-moving environment, you can work autonomously and proactively prioritize and solve the needs of our growing group of customers.</li></ul> Who are you: <ul><li>Have an MSc in Business Analytics, Data Science, Computer Science, Mechanical Engineering or a comparable analytical / technical field</li><li>Are a Data Scientist with 3+ years of experience who is fluent in data science and analysis with Python using Pandas and Numpy</li><li>You have moved ‘beyond Jupyter notebooks’ and are comfortable with building Python modules and packages</li><li>You know how to effectively run machine learning experiments and communicate the results.  </li><li>You have experience with or are eager to learn more about programming best practices such as version control, testing, code quality and CI/CD.</li><li>(Bonus) have experience with working in AWS</li><li>(Bonus) have experience with industrial IoT</li><li>Business level fluency in English is mandatory</li></ul> Why you will love working here: <ul><li>You can play a key role in creating a smart and sustainable industry;</li><li>We have an open culture where you get a lot of freedom and where taking ownership is valued;</li><li>We like to have you around, but you also get the opportunity to work remote (abroad) for up to 2 months per year;</li><li>A powerful company laptop (Macbook Pro or Lenovo Thinkpad);</li><li>Legendary lunches, drinks and other activities with colleagues (our office manager Elise exceeds our expectations every time);</li></ul>…And we obviously offer you the usual: a contract for 32-40 hours per week, employer contribution to your pension, 27 holidays, €500 contribution to set up/improve your home office and a NS business card to get to our great offices in Utrecht and Amsterdam.​#LI - CHIA

Sensorfact offers smart energy savings in the manufacturing industry. The company is a smart advisor for the industry who translates sustainability to day-to-day language and specific actions. No complex sensor technology, no complex software and no complex business models. We make sustainability understandable and transparant.


Senior Data Scientist

About the job At Sensorfact, our mission is to reduce the human environmental footprint by eliminating all waste in the industry. We help our customers gain real-time insights into their operations through high-resolution, machine-level sensors that monitor electricity, gas, water, compressed air, production speed, and machine health.As a Senior Data Scientist, you will play a key role in transforming raw sensor data into valuable insights. You will design heuristics and algorithms that enrich this data in real time, empowering customers to better understand and optimize their processes. On top of that, you will develop models that generate actionable and personalized advice. &nbsp;You’ll be involved in every step of the development process: from data quality checks for new sensor types to deploying and maintaining prediction pipelines. With data at the core of our platform, you will be a vital member of a cross-disciplinary team driving meaningful impact.The key technologies you will be working withOur current AWS stack is focused on ingesting and processing raw sensor data in real time using Kafka and Flink. Processed sensor data is stored in Clickhouse, other types of data live in Postgres. Batch processing is done using Prefect and Fargate, on-demand services are deployed using Lambda. We have a powerful internal GraphQL API to expose data to end users, managed by Hasura. As a data scientist you will use Poetry for package management and Gitlab CI/CD to test, build and deploy our code. You can spin up a fresh Fargate cluster at any time and parallelize your workload using Dask.How we do itWe do Scrum with 2-week sprints, sprint planning and retrospective sessions. We have daily stand ups over Google Meet. The course is determined by quarterly goals, set collaboratively by business, data, development and product teams.We know how important it is to get in the zone and write beautiful code so we try to keep meeting pressure low. We work from home about 70% of the time, but we enjoy meeting each other in the office regularly. What you will do: <ul><li>You will be part of our Predictive Maintenance Product Team, where you will iterate on our models to flag and classify early signs of machine degradation.</li><li>You will be responsible for enriching our sensor data, transforming raw measurements into interpretable features, and designing algorithms to convert this data into actionable and personalized advice.</li></ul><ul><li>You will work closely with our Data Engineers to create deployable artifacts which will continuously generate insights across our customer base in a mix of streaming and batch applications.</li><li>We have many different skills and personalities in the team, and promote an open and collaborative working environment. You are encouraged to work together on complex tasks, to give feedback when you can and actively think about your personal development.</li><li>Being part of a fast-moving environment, you can work autonomously and proactively prioritize and solve the needs of our growing group of customers.</li></ul> Who are you: <ul><li>Have an MSc in Business Analytics, Data Science, Computer Science, Mechanical Engineering or a comparable analytical / technical field</li><li>Are a Data Scientist with 3+ years of experience who is fluent in data science and analysis with Python using Pandas and Numpy</li><li>You have moved ‘beyond Jupyter notebooks’ and are comfortable with building Python modules and packages</li><li>You know how to effectively run machine learning experiments and communicate the results. &nbsp;</li><li>You have experience with or are eager to learn more about programming best practices such as version control, testing, code quality and CI/CD.</li><li>(Bonus) have experience with working in AWS</li><li>(Bonus) have experience with industrial IoT</li><li>Business level fluency in English is mandatory</li></ul> Why you will love working here: <ul><li>You can play a key role in creating a smart and sustainable industry;</li><li>We have an open culture where you get a lot of freedom and where taking ownership is valued;</li><li>We like to have you around, but you also get the opportunity to work remote (abroad) for up to 2 months per year;</li><li>A powerful company laptop (Macbook Pro or Lenovo Thinkpad);</li><li>Legendary lunches, drinks and other activities with colleagues (our office manager Elise exceeds our expectations every time);</li></ul>…And we obviously offer you the usual: a contract for 32-40 hours per week, employer contribution to your pension, 27 holidays, €500 contribution to set up/improve your home office and a NS business card to get to our great offices in Utrecht and Amsterdam.​#LI - CHIA

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