I am curious about data scientist jobs, given my formal training in financial math and my (limited) work experience in data analysis.
I feel this role is a typical type — a generic “analyst” position in a finance-related firm, with some job functions related to … data (!):
- some elementary statistics
- some machine-learning
- cloud infrastructure
- some hadoop cluster
- noSQL data store
- some data lake
- relational database query (or design)
- some data aggregation
- map-reduce with Hadoop or Spark or Storm
- some data mining
- some slice-n-dice
- data cleansing on a relatively high amount of raw data
- high-level python and R programming
- reporting tools ranging from enterprise reporting to smaller desktop reporting software
- spreadsheet data analysis — most end users still favor consider spreadsheet the primary user interface
I feel these are indeed elements of data science, but even if we identify a job with 90% of these elements, it may not be a true blue data scientist job. Embarrassingly, I don’t have clear criteria for a real data scientist role (there are precise definitions out there) but I feel “big-data”, “data-analytics” are so vague and so much hot air that many employers would jump on th bandwagon and portray themselves as data science shops.
I worry that after I work on such a job for 2 years, I may not gain a lot of insight or add a lot of value.
———- Forwarded message ———-
Date: 22 May 2017 at 20:40
Subject: Data Specialist – Full Time Position in NYC
Data Specialist– Financial Services – NYC – Full Time
My client is an established financial services consulting company in NYC looking for a Data Specialist. You will be hands on in analyzing and drawing insight from close to 500,000 data points, as well as instrumental in developing best practices to improve the functionality of the data platform and overall capabilities. If you are interested please send an updated copy of your resume and let me know the best time and day to reach you.
As the Data Specialist, you will be tasked with delivering benchmarking and analytic products and services, improving our data and analytical capabilities, analyzing data to identify value-add trends and increasing the efficiency of our platform, a custom-built, SQL-based platform used to store, analyze, and deliver benchmarking data to internal and external constituents.
- 3-5 years’ experience, financial services and/or payments knowledge is a plus
- High proficiency in SQL programming
- High proficiency in Python programming
- High proficiency in Excel and other Microsoft Office suite products
- Proficiency with report writing tools – Report Builder experience is a plus