Data Scientist/ Machine Learning and Artificial intelligence Engineer/ Analyst and Big Data Engineer/Data Science Engineer Trainee

Job Expired

We are looking for people who can work on machine learning, artificial intelligence, neural networks, big data, data science, and quantitative research. However, some Projects are in the Business Analytics and Predictive Modeling field.
We hire only quality talent and nurture the career of employees.

Desired Skills
Experience in R and/or Python in implementing data science packages/routines
Knowledge with designing data visualizations and the utilization of software such as Tableau
High level of skill in SQL and/or Spark to process and Databases

SKILLS SET
Python, SQL, Pandas, Keras, Tensor flow, Scikit Learn, SciPy, PyTorch, NumPy, Matplotlib, Seaborn.
Tools: Jupyter Notebook, PyCharm, Tableau, Visual Studio, Data Bricks .

Machine learning areas to business problems:
supervised and unsupervised learning, regression, classification, decision trees, clustering, natural language processing, deep learning, anomaly detection, reinforcement learning.

Company Terms & Conditions
⦁ The candidates should be ready to sign a contract for three years with security of original documents.
Company Benefits ⦁It is necessary that candidates to stay closer to office. Distant Commuting will be discouraged and often is also a factor for rejection.
⦁ Candidates will be provided subsidized accommodations based on the request.

Predictive Research Inc has Consultants in UK, Australia and several offices in California, Texas, North Carolina USA. You will work with senior Data Scientists with Doctoral degree from Company on client projects. Company encourages to register for advanced degrees like M.S.(by Research) or Ph.D., along with senior data scientists of the company.

Last Date to Apply
10-August -2022
How to Apply
All interested candidates must register to attend inter view by submit your resume along with scanned copy of certificates of education and experience certificates share to [email protected] .

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  • This job has expired!
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