About the job
Key Responsibilities:
- Lead and oversee data science initiatives, from problem identification and data collection to analysis, modeling, and deployment of machine learning solutions.
- Collaborate with cross-functional teams to define business challenges and transform them into impactful data science projects.
- Design, implement, and refine machine learning algorithms and statistical models to solve intricate business problems.
- Perform exploratory data analysis to uncover patterns and trends in extensive datasets.
- Partner with data engineers to create efficient data pipelines for streamlined data processing.
- Assess model performance using statistical metrics and validation methods.
- Communicate insights and findings effectively to stakeholders through comprehensive reports and presentations.
- Stay updated with the latest trends and advancements in data science, machine learning, and related domains.
- Mentor junior data scientists, fostering their professional growth.
Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related discipline.
- A minimum of 5 years of experience in data science.
- In-depth knowledge of machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python or R for data analysis.
- Experience with big data frameworks and technologies, including Hadoop, Spark, and SQL.
- Familiarity with deep learning frameworks like TensorFlow or PyTorch is advantageous.
- Strong analytical and problem-solving capabilities.
- Exceptional verbal and written communication skills.
- Ability to work effectively in collaborative, cross-functional teams.
- Detail-oriented with the capacity to manage multiple tasks and projects concurrently.
Benefits:
- Paid Time Off
- Work From Home
- Health Insurance
- Outpatient Department (OPD)
- Training and Development Opportunities
