1 point by datarocket 1 year ago flag hide 34 comments
datarocket_ceo 1 year ago next
Excited to announce that DataRocket is hiring for Data Analyst and Data Scientist positions! Join our growing team and help us revolutionize the data analytics industry!
analytics_enthusiast 1 year ago next
Great news! What kind of tools and technologies will be used in this role?
analytics_enthusiast 1 year ago next
Would either position require experience with Big Data technologies such as Spark or Hadoop?
analytics_enthusiast 1 year ago next
Thank you for the information! Are you also open to remote candidates?
hiring_manager 1 year ago next
Yes, we will consider remote candidates for both positions.
ml_engineer 1 year ago prev next
Any preference for prior experience with specific machine learning libraries (e.g. TensorFlow, PyTorch)?
hiring_manager 1 year ago prev next
For the Data Analyst role, familiarity with data visualization tools such as Tableau, PowerBI, or Looker is valuable. For the Data Scientist, exposure to both TensorFlow and PyTorch, along with proficiency in statistics and predictive modeling, is appreciated.
hiring_manager 1 year ago prev next
Experience with Big Data tools like Spark and Hadoop would be advantageous in the Data Scientist role.
software_developer 1 year ago prev next
How does DataRocket approach data security and privacy within the organization?
hiring_manager 1 year ago next
At DataRocket, data security and privacy are of utmost importance. We have strict security policies and guidelines and ensure that all our employees are well-versed and trained in secure data management practices.
$data_scientist 1 year ago prev next
What kind of industries does DataRocket cater to? And what are some of the most common data-related challenges you encounter in these sectors?
domai...@datarocket.com 1 year ago next
Thanks for your interest! We cater to clients primarily in the technology, healthcare, and finance sectors. Common challenges include processing high volumes of data, identifying actionable insights, and maintaining data security and privacy best practices.
bigdata_pro 1 year ago prev next
How does DataRocket handle data ingestion and ETL processes? In-house solutions or specific tools?
hiring_manager 1 year ago next
We employ a diverse range of tools depending on the use case, including in-house solutions as well as third-party tools like Fivetran, Talend, and Stitch.
quant_wiz 1 year ago prev next
Are the responsibilities tied to any specific domain (e.g. sports analytics, ad-tech)? Or will it span across multiple industries and domains?
domai...@datarocket.com 1 year ago next
DataRocket's responsibilities cover multiple industries and domains, allowing us to provide actionable insights in a cross-functional capacity.
ai_excited 1 year ago prev next
Any exposure to reinforcement learning techniques or experience with natural language processing tools, such as NLTK, SpaCy, or Hugging Face, required in your Data Scientist position?
hiring_manager 1 year ago next
While not strictly mandatory, prior experience or exposure to reinforcement learning or natural language processing tools would help candidates stand out in the Data Scientist role.
snarky_hacker 1 year ago prev next
What programming languages are preferred at DataRocket? Are you strictly locked into Python or is dynamically typed Julia an option?
hiring_manager 1 year ago next
Python is our go-to language, but Julia and R languages are also considered depending on the use case and employee expertise.
systems_thinker 1 year ago prev next
What kind of workflow and development practices are being used at DataRocket, such as version control with git repositories and code reviews?
hiring_manager 1 year ago next
Absolutely! We use GitHub for version control and ensure code reviews are an essential part of our software development workflow.
cloud_native 1 year ago prev next
Are there any cloud providers of choice? Or is DataRocket platform-agnostic?
hiring_manager 1 year ago next
While we're not tied to one specific cloud provider, we most commonly use AWS as our infrastructure provider, followed by Google Cloud Platform and Azure.
data_whiz 1 year ago prev next
What is the average size of the datasets you typically deal with? Are there any specific technologies used for handling such data?
domai...@datarocket.com 1 year ago next
We encounter datasets as small as a few megabytes and as large as multiple terabytes. Both in-house solutions and performant third-party technologies such as Dask handle larger datasets.
insights_seeker 1 year ago prev next
How does DataRocket foster a culture of learning and growth? Are there opportunities for training and personal development?
hiring_manager 1 year ago next
We are huge supporters of learning and growth. DataRocket conducts frequent internal workshops and external training, includes a substantial conference budget for each employee, and contributes to external educational programs.
pay_transparency 1 year ago prev next
Would you mind providing a rough payment range for the Data Analyst and Data Scientist positions? Or is that confidential during the hiring process?
hr_hiring 1 year ago next
The compensation for these positions is competitive and varies based on several factors, such as experience, region, and expertise, so we prefer to discuss it during the interview process with candidates.
transparency 1 year ago prev next
Could you shed some light on DataRocket's equity distribution strategy for new hires? Or, once again, it's only discussed after bringing someone on board?
hr_hiring 1 year ago next
An applicant's equity is generally based on factors that include level, experience, role, and negotiations. While we discuss equity during the hiring process, there's a more comprehensive discussion if the individual joins our team.
curious_reader 1 year ago prev next
Has DataRocket embarked on any interesting projects lately? What's particularly exciting in your pipeline for the second half of 2023?
cto_overseer 1 year ago next
We're currently involved in an AI-driven fraud detection project and have a cutting-edge IoT analytics initiative coming up. Q3 and Q4 will be full of exciting prospects with a growing team!