Data Scientist

Atlas Labs
Full-timeColombo, Sri LankaUSD 1,000 - 2,000/month

Are you passionate about shaping innovative solutions with data? Atlas Labs is seeking a Data Scientist to join our team. In this critical role, you will leverage video footage to develop and deploy machine learning algorithms and models for behaviour and movement recognition. Your solutions will be optimized for low-latency performance on edge devices, ensuring real-time processing capabilities that classify and interpret behaviour directly from camera inputs.

๐Ÿš€ About Atlas Labs:

Atlas Labs is a progressive technology company focused on creating exceptional technology products and services that propel progress and have a positive impact on the world.

At the heart of everything we do is to liaise our culture of passion, commitment and excellence. We're all about cultivating an environment where creativity thrives and excellence is the norm. With a burning passion to achieve greatness, we're committed to going above and beyond to deliver the best possible outcomes for our clients and ourselves.

We are not an ordinary company and we are not looking for people who want just another job. Our team consists of truly driven individuals, working together to achieve the unimaginable.

๐Ÿ”ง Your Role:

  • Analyze data, unraveling patterns and trends that lead to innovative solutions and untapped opportunities.
  • Engage with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Assess the effectiveness and accuracy of new data sources and gathering techniques.
  • Collaborate with different business units, leveraging custom data models and algorithms on diverse datasets.
  • Develop ingenious processes and tools to monitor model performance and ensure data accuracy, empowering us to make data-driven decisions with confidence.
  • Transform insights into visual presentations and reports, effectively communicating your data discoveries and recommendations to stakeholders.
  • Stay updated with the latest advancements in the field of data science.

๐ŸŽ“ Your Profile:

  • Bachelorโ€™s degree in Computer Science, Mathematics, Data science or a related field.
  • Experience developing advanced statistical and machine learning models.
  • Experience in analyzing and interpreting time-series data.
  • Proficiency in conducting comprehensive image data processing and analysis.
  • Proficiency in data science oriented languages such as Python and R.
  • Knowledge of SQL for data querying and manipulation.
  • Excellent written and oral English communication skills, with the ability to convey complex concepts to both technical and non-technical audiences.

Additional Skills:

  • Experience in analyzing and processing audio datasets.
  • Familiarity with Rust would be an advantage.

๐Ÿ’ผ Benefits:

In addition to our wonderful team, our great culture, and our magnificent vision, there are a wide range of additional benefits that makes Atlas Labs an amazing place to work! You can receive:

  • The experience of creating and implementing highly-valuable and innovative technology, while contributing to the long-term growth of a successful tech company
  • High-impact working environment with flat hierarchies and short decision-making processes
  • Market rate remuneration with a Dollar peg
  • State-of-the-art hardware to work with and a modern software infrastructure
  • A beautiful office in the heart of Colombo with plenty of flexibility to take care of what matters most!

๐ŸŒŸ Apply Today:

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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Which data preprocessing techniques are you familiar with?*
Are you familiar with computer vision and image processing? If yes, please mention the libraries and models you have experience with.*
Are you familiar with Audio Classification? If yes, please mention the libraries and models you have experience with.*
Mention 2 techniques for monitoring machine learning model performance and ensuring data accuracy.*
Have you worked with analyzing time-series data? If so, what techniques have you used?*
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Can you describe a custom data model or algorithm you've developed? Briefly explain its use case.*