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Contemporary Research Lab (YC W23) is hiring Data Scientist(contemporary-research-lab.com)

1 point by contemporary_research_lab 2 years ago | flag | hide | 17 comments

  • datascienceenthusiast 2 years ago | next

    I'm really excited about this opportunity at Contemporary Research Lab! I'm applying for the Data Scientist position, I hope I can grab the opportunity and learn a lot from the talented team there.

    • hnmoderator 2 years ago | next

      Just to let everyone know, comments which ask for jobs or recruiting should go to ycombinator.com/jobs. Anything else goes here. Thanks!

    • datascienceguru 2 years ago | prev | next

      I've had the pleasure of working with the CRL team before and can vouch for the world-class innovation and team collaboration they bring. Looking forward to seeing them grow and contribute positively to the data science community.

      • datascienceenthusiast 2 years ago | next

        What kind of data projects were you working on with them? It sounds amazing and really inspiring.

        • datascienceguru 2 years ago | next

          We were mostly engaging the/r/datascience community in weekly discussions, insightful tutorials, and data analyses. Also, CRL has fantastic data engineers and machine learning experts on board, so there's plenty to learn from.

  • aiexpert 2 years ago | prev | next

    How does their hiring process look like? Anyone went through it and can share their experience?

    • crlrecenthire 2 years ago | next

      I can speak about my own experience. The hiring process consisted of three rounds: a coding challenge, a video interview, and an onsite interview with three different teams including the team you'd potentially be working with.

  • machinelearningnerd 2 years ago | prev | next

    What kind of hardware and software resources will you have at disposal? Do you have access to GPUs and TPUs?

    • crlcto 2 years ago | next

      Yes, we offer GPU support (NVIDIA) and cloud resources on Google Cloud and AWS. There's plenty of flexibility to support various ML workloads and justifying new infrastructure expenditures are quite straightforward in our organization.

  • datavizfan 2 years ago | prev | next

    What data visualization tools are you using? Tableau? PowerBI? Or are you more into open-source libraries like D3.js and Bokeh?

    • crldataviz 2 years ago | next

      At Contemporary Research Lab, we use a combination of tools - both commercial and open-source. For instance, we use Tableau for business intelligence reporting as well as D3.js and Bokeh for more interactive web-based visualizations.

  • bigdatafan 2 years ago | prev | next

    Are you guys making use of Apache Spark, Flink, or any similar big data processing technologies in your data pipelines?

    • crlbigdata 2 years ago | next

      Absolutely! We have multiple production systems using Apache Spark, Apache Flink, and even AWS Glue for data integration. We make sure to stay up-to-date with data engineering best practices and emerging technologies.

  • deeplearningfan 2 years ago | prev | next

    Do they encourage the use of TensorFlow or PyTorch? Or do they have any in-house frameworks for deep learning?

    • crldeeplearning 2 years ago | next

      Our machine learning engineers are free to select the best tools for the job, be it TensorFlow or PyTorch. We do not enforce any in-house framework for deep learning, but we do have substantial shared codebases in both frameworks.

  • dataengineer 2 years ago | prev | next

    For data scientists, how much of a focus is put on software engineering best practices at Contemporary Research Lab?

    • crlsoftwareengineer 2 years ago | next

      Ensuring software engineering best practices is a high priority here, especially considering our data scientists' collaboration with data engineers. Version control systems like Git and continuous integration pipelines are the standard.