Sr. Data Scientist

4 days ago

bangalore, India SA Technologies Inc. Full time

Unlock New Career Horizons with SA Technologies Inc.
We're Hiring: Sr. Data Scientist in Bangalore, KA

At SA Technologies Inc. , we believe in turning career aspirations into reality. As a Great Place to Work Certified company, recognized as one of the Best Places for Women, and a CMMI Level 5 Company, we are committed to creating a workplace that is inclusive, excellent, and supportive.

Position Overview:
We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning, coupled with excellent problem-solving abilities and a keen business sense. You will work closely with cross-functional teams to extract insights from complex datasets and drive data-driven decision-making.

Basic Qualifications:
Proficiency in programming languages such as Python, SQL, R, etc.
Bachelor's or Master's degree in a highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
5+ years of academic and relevant industry experience.
Proven experience as a Data Scientist with a strong portfolio of data science
projects. Experience in a specific industry (e.g., Edtech, finance, retail) is
advantageous.
Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy,
Scikit-learn).
Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, D3.js).
Analytical Skills: Strong ability to analyze complex data sets, identify trends, and draw actionable conclusions.
Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
Problem-Solving: Demonstrated ability to tackle complex problems and develop innovative solutions.

Preferred Qualifications:

Bachelor's, Master's, or PhD degree in CS, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 3 years of working experience as a Data Scientist.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of advanced machine learning techniques (e.g., deep learning,

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