Hello Professionals,

Hope you are doing well.



Role: Data Scientist/Machine Learning

Location: Austin, TX

Long Term Contract



Responsibilities:

This person will be responsible for developing and facilitating data
requirements and needs identified by the client’s Algorithmic Sciences team
for machine learning applications.

Client’s has many clients in a variety of industries. When a business
problem is presented and identified by the Algorithmic Sciences team, a long
process of data consulting

and engineering with the client must be carried out to:

1. Validate the business problem (does their data support the claim that a
problem exists)

2. Determine relevant data and an appropriate ETL process

3. Engineer basic features amenable to the class of algorithms identified to
be a fit for the

problem.



This person will be heavily involved in this process, working in the
Algorithmic Sciences team.



Required Experience:

● Has been exposed and/or performed machine learning techniques and done
data engineering in a machine learning context, where the output of an ETL
process or

data pipeline are features and labels for supervised machine learning
algorithms. ETL processes for machine learning applications often include
complex joins across many

tables and aggregations that must be flexibly designed in case modeling is
changed.

● Ideally, has some exposure to applying machine learning models even if at
a basic level such as with out-of-the-box models from sklearn, keras etc.
Understands the basic assumptions behind common modeling techniques such as
logistic regression, random forests, gradient boosting.



Core skills:

● Experience with enterprise database systems: Hadoop, Hive, SQL,
Mongo/NoSQL, Teradata

● Experience with ETL tools such as Spark, Talend, NiFi, Apache Beam

● At least basic programming experience in a mainstream language,
preferably: Python

● Basic machine learning knowledge/understanding. Experience with
regression and classification techniques.

● Good communication skills, detail oriented



Thanks & Regards

Deependra Kumar



IDC Technologies, Inc
Work: 408-882-6922
Mailto:  <mailto:p...@idctechnologies.com> deependr...@idctechnologies.com



920 Hillview Court, Suite 250,
Milpitas, CA 95035
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