Jr. Data Scientist

Cloud Counselage Pvt Ltd; Mumbai; Hybrid; INR 500,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Opportunities for professional development

Dynamic work environment

Job summary

A dynamic technology firm is seeking a Junior Data Scientist to analyze complex datasets and develop machine learning models. The successful candidate will collaborate closely with senior data scientists and contribute to data-driven initiatives. This role offers competitive salary, opportunities for professional development, and a flexible work environment. Responsibilities include data preprocessing, exploratory analysis, model development, and effective communication of insights. Ideal candidates will have a relevant degree and skills in programming and data analysis.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• Strong proficiency in Python or R.
• Experience with data manipulation libraries like Pandas, NumPy.
• Knowledge of ML algorithms and model evaluation.
• Familiarity with SQL for data extraction.
• Excellent analytical and collaborative skills.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns.
• Develop and implement machine learning models.
• Evaluate model performance using metrics.
• Collaborate with engineers to deploy models.
• Derive actionable insights and recommendations.
• Communicate findings to stakeholders.
• Contribute to data pipelines and infrastructure.

Skills

Programming in Python or R

Data manipulation with Pandas and NumPy

Machine learning algorithms knowledge

SQL for data extraction

Analytical skills

Communication skills

Communication

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Tools

scikit-learn

Jupyter

Job description

As a Junior Data Scientist, you will play a crucial role in analyzing complex datasets, developing machine learning models, and deriving actionable insights to drive business decisions. You will work closely with senior data scientists and cross-functional teams to solve challenging problems and contribute to the advancement of data-driven initiatives.

What's For The Candidate:

• Competitive salary based on experience.
• Opportunities for professional development and career growth.
• A collaborative and dynamic work environment.

Responsibilities:

• Collect, clean, and preprocess large datasets from various sources to ensure data quality and integrity.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and implement machine learning models for predictive analytics, classification, clustering, and regression tasks.
• Evaluate model performance using appropriate metrics and techniques, and iterate on model improvements.
• Collaborate with software engineers to deploy models into production environments and integrate them into scalable systems.
• Utilize statistical techniques and methodologies to derive actionable insights and recommendations.
• Communicate findings and results to technical and non-technical stakeholders through reports, visualizations, and presentations.
• Stay updated on the latest advancements in data science, machine learning, and related technologies.
• Contribute to the development and maintenance of data pipelines, tools, and infrastructure.

Requirements:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• Strong proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn.
• Knowledge of machine learning algorithms and frameworks, and practical experience in model development and evaluation.
• Familiarity with database systems and SQL for data extraction and manipulation.
• Excellent analytical and problem-solving skills, with attention to detail.
• Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
• Ability to work independently, manage multiple tasks, and meet deadlines.
• Previous internship or project experience in data science or related field is a plus.

Job Location: Remote/Hybrid/In-Office

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