Role:Data Scientist Manager|Hybrid in Trenton, NJ|Immediate interview|
1 view
Skip to first unread message
pradeep bhaskarla
unread,
Feb 9, 2023, 12:50:18 PM2/9/23
Reply to author
Sign in to reply to author
Forward
Sign in to forward
Delete
You do not have permission to delete messages in this group
Copy link
Report message
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to
Hi folks
Hope you are doing well. This is #Pradeep . We have an immediate opportunity with one of our clients. Please find the job description below, and if you are interested, please forward your updated resume to #pra...@interaslabs.com
Role:Data Scientist Manager
Location: Hybrid in Trenton, NJ
Duration: Long term
Must have 15 years experience
Required skills:
Doctorate or Master’s Degree in Information Technology, Computer Science, quantitatively focused social sciences, or other quantitative fields.
5+ years of experience working with large and varying data sets, applying qualitative and quantitative analysis to interpret the data.
3+ year hands-on software engineering and Data Science experience working from data prep, modeling and feature engineering all the way through to deployment.
Develop algorithms and predictive models to derive insights and business value from data.
Test and validate algorithms and models using Machine Learning, Deep Learning and other modern techniques/methodologies.
Demonstrable proficiency in coding Python, R, Java, Scala, C++, programming concepts, IDEs and big data frameworks (Spark, Hadoop).
Strong knowledge and experience with several Data Science and ML/DL libraries or tools such as H2O, Spark MLlib, ML pipelines, Scikit-learn, H2O, Keras, Tensorflow etc.
Hands on experience with Data Science notebooks such as Anaconda, Jupyter, and Zeppelin
Strong understanding of machine learning methods such as classification, feature selection, clustering, neural networks, etc.
Experience and proficiency in utilizing statistical/analytic packages such as SAS, R, SPSS, S-Plus, Matlab to develop statistical models
Understanding of and experience with building canned and ad-hoc reports based on user requirements.
Strong analytical skills with the ability to analyze data sets to determine trends, establish strategies, and make decisions.
It takes a Ph.D and at least a decade of experience to be a good DS. I will settle for half good, but need someone genuine. Key is the expertise with Machine Learning