Join our dynamic team at Datadivr!Location: Mumbai
Experience:1-3 years
Preferred Experience: Experience in data science projects, ideally with exposure to life sciences or healthcare applications Responsibilities:
Data Analysis and Exploration: Conduct exploratory data analysis to uncover patterns, trends, and insights.
Model Development: Assist in developing and implementing machine learning models under the guidance of senior data scientists.
Data Preprocessing: Prepare and clean data for analysis, including feature engineering and handling missing values.
Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics.
Technical Documentation: Contribute to technical documentation and knowledge sharing within the team. To be Successful, You'll Need: Technical Skills:
Proficiency in Python or R
Understanding of basic machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests)
Experience with data manipulation and visualization tools (e.g., Pandas, Num Py, Matplotlib, Seaborn)
Familiarity with machine learning frameworks (e.g., Scikit-learn)
Knowledge of SQL and experience working with relational databases
Basic understanding of cloud platforms (e.g., AWS, Azure, GCP)Soft Skills:
Strong problem-solving and analytical skills
Attention to detail and accuracy
Ability to work independently and as part of a team
Excellent communication and documentation skills
A passion for learning and staying up-to-date with data science advancements What We Offer:
Opportunities for professional growth and development
Competitive salary and benefits package
A chance to work on cutting-edge projects in a dynamic and collaborative environment Ready to Join Our Team?Apply now and tell us why you're the perfect fit for Datadivr!Please note: In your application, please include a link to your Git or relevant code samples. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, or disability status.