- Design, develop, and deploy sophisticated machine learning models to solve complex business problems.
- Utilize advanced statistical modeling, data mining, and machine learning techniques to analyze large datasets.
- Build and maintain robust data pipelines for data ingestion, processing, and feature engineering.
- Deploy models into production environments and monitor their performance.
- Conduct exploratory data analysis to uncover patterns, trends, and insights from data.
- Communicate complex technical findings to both technical and non-technical audiences.
- Prepare reports and presentations to effectively convey data-driven insights.
- Collaborate closely with stakeholders to define and prioritize key business problems that can be addressed through data science and make sure features are delivered on time with high quality standards.
- Stay abreast of industry trends and emerging technologies in the field of data science.
- Foster a collaborative and innovative work environment within the team.
- Collaborate effectively with cross-functional teams, including engineering, product, and business stakeholders.
- 7+ years of hands-on experience in a data science role
- Bachelor’s or master’s degree in computer science or equivalent experience in related field(s)
- Strong proficiency in Python.
- Expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Familiarity with cloud computing platforms - AWS
- Excellent data visualization and communication skills.
- Working knowledge of all aspects of software development lifecycle
- Good communication skills (both verbal and written)
- Generous remuneration package
- Employee Stock Purchase Plan Enrollment
- 30 days of earned leave
- An extra day off for your birthday
- Various other leaves like marriage leave, casual leave, maternity, and paternity leave
- Premium Group Medical Insurance for employees and five dependents, personal accident insurance coverage, life insurance coverage
- Professional development reimbursement
- Interest subsidy on loans - either vehicle or personal loans
Together, We Make Progress
Progress is an inclusive workplace where opportunities to succeed are available to everyone. As a multicultural company serving a global community, we encourage a wide range of points of view and celebrate our diverse backgrounds. Our unique combination of perspectives inspires innovation, connects us to our customers and positively affects our communities. It is only by working together and learning from each other that we make Progress. Join us!
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