Job Description
Job Summary:
Enterprise64 is seeking an experienced and driven Data Scientist to join our dynamic team in Karachi. As a Data Scientist, you will play a pivotal role in analyzing complex data, building predictive models, and providing actionable insights to support business decisions. You will also play a key role in mentoring other analysts and data scientists. The ideal candidate has strong technical skills, a solid understanding of data science principles, and a passion for exploring new AI technologies.
Responsibilities:
- Conduct in-depth data analysis to uncover trends, patterns, and insights.
- Design, develop, and validate sophisticated machine learning and statistical models.
- Mentor and guide junior data scientists and analysts, providing technical oversight and career development support.
- Collaborate with cross-functional teams to translate business problems into data science solutions.
- Communicate complex findings to stakeholders through clear data visualizations and presentations.
- Implement AI-based solutions in production environments, ensuring scalability and reliability.
- Stay up to date with industry trends and emerging technologies in data science and AI.
Preferred Tools and Technologies:
- Programming languages: Python, R
- Data analysis libraries: Pandas, NumPy
- Machine learning frameworks: scikit-learn, TensorFlow, PyTorch
- Data visualization tools: Matplotlib, Seaborn, Tableau
- Data storage: SQL, NoSQL databases
Requirements:
- Bachelor's in Data Science, Computer Science, Statistics, or a related field.
- A minimum of 6 years of experience in data science or a related role.
- Strong leadership and mentorship skills with the ability to guide a team.
- Proven experience in developing and deploying complex machine learning models.
- Excellent problem-solving and analytical skills.
- Exceptional communication and teamwork abilities.
- Experience with AI technologies and deep learning is preferred.
Benefits:
- Talent upskilling program.
- Provident fund.
- Health insurance.
- Eligible for US H-1 Visa.
- Travel to international client meetings or conferences.
- Project-based bonus.
- Leave encashment.
- EOBI
- Maternity leaves/ Paternal WFH
- Religious holidays
- Work from home facility.
- Referral bonus.
- Shared success reward.
- Paid time off.
- Transportation service.
- Loan and advance salary.