360Science has built some amazing logic – and we’re going to take it to the next level.
We are looking for exceptional talent to drive innovation within our newly formed applied data science team. “We’re looking for someone who wants to science the sh*t out of data.” Specifically contact data – people data. Data that lives in enterprise CRM’s, data centers and drives commerce.
Who do we want? We want someone who is passionate about data science, machine learning and predictive algorithms. Someone who wants to roll up their sleeves and create something unique and to see your ideas propagate across industries and companies of all sizes.
What will you bring to the table? You’ll have a strong analytical background with a BS/MS degree in computer science, statistics, applied mathematics or related quantitative field. You’ll have 4 years experience working in collaboration with software engineering teams to productize your work.
You will have the ability to apply a pragmatic approach to problem solving, establishing conceptual connections to data sources, understanding relationships among data, and comfort with uncertainties/approximations. You will thrive in a small environment. You’ll partner with product, finance, and operations teams to identify material impact, and help prioritize and bring to life the near-term wins and long-term strategic vision.
You will work on improving our core algorithms with respect to modelling, signal extraction, correlation, etc. You will formulate new modelling problems; research and help implement new capabilities and evaluate and incorporating new sources of data.
It would be great if you’re an engineer as much as you are a data scientist. You have hands on experience querying relational databases (SQL) and independently working with and exploring data in Hadoop ecosystem including HDFS, Hive, MapReduce, and Spark.
To apply for this role please send your CV with a cover letter to [email protected]