Role :
Data Science Analyst
Location :
WORK FROM HOME/hydeabad
JOB DESCRIPTION:
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- the selected persons must have basic knowledge about Data Analysis
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What you will do
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- Transform business challenges into analytical problems and develop answers using statistical modeling, machine and deep learning, and visualization approaches, all while being guided by their team members and supervisors and becoming increasingly independent over time. – Look for and create innovative algorithms, methodologies, statistical models, business models, and data management strategies that offer insight into both structured and unstructured data.
swiftly picks up and practices using the tools, data sources, and analytical methods required to address a variety of important business concerns and enhance the current situation. – finds academic papers and replicates or applies creative approaches to Novartis’ business issues. – Give important stakeholders company intelligence that is clear and useful.
demonstrates practical mastery of methodologies and contributes comprehension of one or more data science domains.
Education Required:
Any Graduation
Any stream
Fresher’s
Experienced also
skills
Minimum prerequisites:
Experience at Work:thorough understanding of trends and the outside world.
possesses a robust academic professional network.
0–2 years of relevant data science expertise.
history of providing large-scale, worldwide solutions.
Proficiency:biostatistics.
programming for computers.
analysis of data.
Data Administration.
Data mining.
quality of the data.
visualization of data.
databases.
deep learning.
Graph algorithms.
enhanced performance in computing.
The model of logistic regression.
Learning Machines (Ml).
Manage data mastery.
Python pandas.
Python is a language for programming.
R is the language for programming.
Forest Random Algorithm.
Structured Query Language, or Sql.
Modeling with statistics.
Analysis of Time Series.
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