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Brainlabs

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4.0

based on 18 Reviews

29 Brainlabs Jobs

Specialist, Data Science

Brainlabs Digital

4.0

based on 18 Reviews

1-4 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Specialist, Data Science

Brainlabs

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Computer Science Data Analysis Python Machine Learning Business Analytics

+ 3 more

Job Description

Analyze large datasets to derive actionable insights that drive business decisions.
Develop and maintain data models and reporting tools to monitor performance metrics.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Assist in the development of machine learning models to enhance business analytics capabilities.
Present findings and recommendations to stakeholders in a clear and concise manner.
Stay updated on industry trends and best practices in data analysis and machine learning.

Requirements:

Bachelor s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
Minimum of 1 year of experience in data analysis or a related field.
Proficiency in Python programming, including experience with libraries such as Pandas, NumPy, and SciPy.
Basic knowledge of machine learning concepts and techniques.
Strong analytical skills with the ability to interpret complex data sets.
Excellent communication skills, capable of conveying insights to non-technical stakeholders.
Experience with cloud technologies (e.g., AWS, Azure) is a plus.

Job Description: Data Analyst (1+ Years Experience)We are seeking a motivated and skilled Data Analyst with a minimum of 1 year of experience in the field of analytics. The ideal candidate should possess strong Python programming skills and a foundational knowledge of machine learning or business analytics. We value individuals who are hands-on, eager to learn, and have good analytical thinking abilities. Experience with cloud technologies will be considered an advantage. Responsibilities:

Analyze large datasets to derive actionable insights that drive business decisions.
Develop and maintain data models and reporting tools to monitor performance metrics.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Assist in the development of machine learning models to enhance business analytics capabilities.
Present findings and recommendations to stakeholders in a clear and concise manner.
Stay updated on industry trends and best practices in data analysis and machine learning.

Requirements:

Bachelor s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
Minimum of 1 year of experience in data analysis or a related field.
Proficiency in Python programming, including experience with libraries such as Pandas, NumPy, and SciPy.
Basic knowledge of machine learning concepts and techniques.
Strong analytical skills with the ability to interpret complex data sets.
Excellent communication skills, capable of conveying insights to non-technical stakeholders.
Experience with cloud technologies (e.g., AWS, Azure) is a plus.

Preferred Qualifications:

Hands-on experience in analytics roles, demonstrating the ability to work with real-world data challenges.
A proactive attitude towards learning new tools and methodologies in data science and analytics.

Employment Type: Full Time, Permanent

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