We are looking for a curious and analytical Data Scientist to transform raw data into meaningful insights that support business decisions. In this role, you will work with structured and unstructured data, develop predictive models, identify trends, and collaborate with cross-functional teams to solve real-world business problems.

Whether you are an entry-level professional or have a few years of experience, this position offers an excellent chance to build your expertise in data science, machine learning, and analytics while working on impactful projects.

Responsibilities

Collect, clean, and organize large datasets from multiple sources.

Analyze data to identify trends, patterns, and actionable insights.

Build and evaluate machine learning and statistical models.

Develop predictive models to improve business performance.

Create dashboards, reports, and visualizations to communicate findings.

Work closely with engineering, product, and business teams to understand data requirements.

Validate data quality and ensure accuracy across datasets.

Perform exploratory data analysis (EDA) to uncover hidden opportunities.

Optimize existing models and recommend improvements based on performance.

Document methodologies, experiments, and model results.

Stay up to date with the latest developments in data science, AI, and machine learning.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.





0–3 years of experience in data science, analytics, machine learning, or related roles (internships are welcome).

Strong knowledge of Python or R for data analysis.

Understanding of statistics, probability, and machine learning concepts.

Experience with SQL for querying and managing data.

Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar tools.

Knowledge of data visualization tools such as Power BI, Tableau, Matplotlib, or Plotly is a plus.

Strong analytical thinking and problem-solving skills.

Excellent communication and presentation abilities.

Ability to work independently in a remote environment.

Preferred Skills

Experience working with large datasets and cloud platforms.

Understanding of deep learning, NLP, or computer vision concepts.

Knowledge of Git, APIs, and data pipelines.

Familiarity with big data technologies such as Spark or Hadoop is an advantage.

Strong attention to detail and willingness to learn new technologies.

Benefits

Fully remote work opportunity.

Paid onboarding and technical training.

Flexible work schedule.

Growth opportunities and mentorship opportunities.

Access to learning resources and certification programs.

Collaborative and supportive team environment.

Paid time off and company-recognized holidays (subject to eligibility).

Employee wellness and assistance programs (where applicable).

📌 Data Scientist (India)
🏢 Data Eminence
📍 India