Job Description

Title : Data Scientist

Role type: Fulltime

Location : Pune (Hybrid)

Experience : 1 to 2 Years

:

Design

1-2 year of design experience around Statistical modeling, data preparation, Machine learning, Artificial Intelligence, ETL data processing for analytics. 1-2 Years of Application Design.

Coding

1-2 year of actual development/coding around Statistical modeling, data preparation, Machine learning, Artificial Intelligence, ETL data processing for analytics. 1-2 Years of Application Development experience. 1-2 Years of Application Design.

Testing

1-2 Test experience either in support role to application QA assistance.

Deployment

1-2- Experience with deployment to production and automation around deployment

Task Management

1-2 of Experience in leading others to complete their tasks while delivering its own projects.

Must have :

1 to 2 yrs of Combined Technical Experience on Machine Learning, Natural Language Processing (NLP), Statistics Integration.


Bachelor in Computer Science, with Courses in computer systems, computer architecture, Artificial Intelligence and Machine learning. .


Enterprise level application development experience such as Java or Python.

Break down below

:


1-2 Years of Experience on Machine learning and Artificial intelligence statistical modeling for Operational purposes (such as maintenance, failures prediction).


1-2 Years of Full Stack Development Experience

Combined experience must be between 1-2Y.

Technical Background:

Python, Java, JS, SQL, Shell Scripting, or C Programming


Machine Learning: 2 or more of the following or similar: Linear Regression, Logistic Regression, Decision tree, Random Forest, KNN, KMeans, DBScan, Deep Learning


Natural Language Processing: One of the following: Sentimental analysis, Classification, NLTK


R Programming: At least One of the following: Statistical computing, EDA graphs, P - values, Confidence interval, Machine learning algorithms, ggplot


Python Programming Language: At least one of the following: Pandas, Numpy, web scraping using beautiful soup, Matplotlib, Django


OS Intermediary in Linux or Windows Servers;


Basic Networking;


At least one database technology in intermediary level;


At least one programing language intermediary and one advanced;


XML or JSON knowledge

Strong experience in Design & Support Applications:

Data Warehouse, Data Integration Systems, Big Data Lake or B2B System Integration/e-Commerce (at least one).


IOT data collection & prediction experience: using data sensors, parses the data, recognizes connected devices. Make predictions based on identifying data patterns from these devices.


Experience in Agile and Waterfall methodologies.

Good to have

Technical Background

One of the following: AWS Solution, Azure Cloud Computing


One of the following Tools: RESTful API, JSON, XML, Git, Visual Studio code, eclipse


Big Data Administration or Development Certification or proven implementation experience.


Hands on development skill on at least one Big Data Distribution is desired.


Django Framework: Rest APIs, web services, Deployment on Aws server using Apache2

Job Types: Full-time, Permanent

Benefits:

Health insurance Provident Fund
Schedule:

Day shift Morning shift Rotational shift
Work Location: In person