Job Summary:
As a Data Scientist, you will analyze complex data sets to identify trends, develop predictive models, and provide actionable insights that influence business strategies. You will collaborate with cross-functional teams to understand their data needs and deliver solutions that drive value across the organization.
Key Responsibilities:
- Collect, clean, and preprocess large data sets from various sources.
- Develop and implement statistical models and machine learning algorithms to solve business problems.
- Conduct exploratory data analysis to identify patterns and trends.
- Collaborate with stakeholders to define data-driven strategies and objectives.
- Visualize data insights using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).
- Communicate findings effectively to both technical and non-technical audiences.
- Stay updated on the latest data science trends, techniques, and tools.
- Mentor junior data scientists and contribute to the team’s knowledge base.
Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; Master’s degree preferred.
- 3+ years of experience in data analysis, data science, or a related role.
- Proficiency in programming languages such as Python or R, and familiarity with SQL.
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong statistical analysis skills and understanding of data modeling techniques.
- Excellent problem-solving abilities and critical thinking skills.
- Strong communication skills and ability to work collaboratively in a team environment.