For a project with our client 1010data (https://1010data.com/) we are looking for several Data Scientists.
1010data travels at the speed of thought to make Big Data discovery easy; they power sub-second responses to analyses run on billions of rows of data. 1010data is defining the way the world interacts with data. An essential tool to more than 700 of the world's top retail, manufacturing, telecom, government, and financial services enterprises including Shell, Nespresso, Dollar General, P&G, and RiteAid; the 1010data platform is a highly differentiated product that is becoming the industry standard for Big Data Discovery and Data Sharing. With more than 30 trillion rows of data in a private cloud, 1010data is designed to scale to the largest volumes of granular data, the most disparate and varied data sets, and the most complex advanced analytics. All while delivering lightning-quick system performance.
We are seeking several Data Scientists with solid skills in data analysis to create large-scale analytical solutions (data products and applications) to client-driven business problems. At the core of 1010data's technology stack is a fast parallel processing database that powers all of our product offerings. Your work will involve utilizing this core capability in designing high-performance data pipelines and the corresponding operational processes. You will be responsible for conducting analysis to further the features, functionality, and data quality of the analytical solutions.
You have keen critical thinking, deep analytical skills, an intuitive understanding of statistical methods, and experience with handling large, nuanced datasets. You can manage your own time and project priorities to deliver under pressure. Interest and willingness to learn new tools and languages are crucial for the success of any Analyst at 1010data. You will primarily utilize the 1010data XML Macro language to interact with our core database. You will also use Airflow, Scala, Spark, and Python to varying degrees.
You will be a part of a high-performing and nimble team building data products using billions of rows of data. The Analyst role requires collaboration with the product management team, rapid prototyping of analytical solutions, building enhancements to existing data products, creating and maintaining data engineering pipelines, and handling client support. You will need to develop domain expertise on data products and be able to propose solutions to challenging problems.
What you will take on:
What you already have:
Education & Experience
Communication and collaboration
As the client is based in the US, there will be an alignment with the EST timezone.