Posted on: 31/07/2025
About Us :
We are seeking a skilled Senior Data Scientist with over 4 years of experience to join our dynamic data science team. The ideal candidate will have a strong foundation in Python programming, a solid understanding of machine learning concepts, and expertise in statistical analysis. You will leverage your knowledge of linear regression, decision trees, and random forests to drive data-driven decision-making and contribute to innovative solutions that enhance our products and services.
Key Responsibilities :
- Analyze large datasets to extract actionable insights and support data-driven strategies.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies in data.
- Collaborate with cross-functional teams to define business problems and design experiments
to solve them.
- Utilize Python for data manipulation, statistical analysis, and model development.
- Validate model assumptions, with a focus on linear regression and ensure the reliability of
results.
- Build and optimize decision tree models and random forest models, including out-of-bag
(OOB) scoring and treatment of unsampled records.
- Communicate findings to stakeholders through data visualization and storytelling to influence business decisions.
- Stay up to date with industry trends and best practices in data science and machine learning.
Qualifications :
- 3+ years of experience in data science, data analysis, or a related field.
- Proficiency in Python and relevant libraries (e.g., pandas, scikit-learn, NumPy).
- Strong understanding of machine learning algorithms and statistical methods.
- Experience in demand/Time series forecasting
- Experience with linear regression, including assumptions and diagnostics.
- Demonstrated ability to build and interpret decision trees and random forests, with
knowledge of OOB scoring and handling of unsampled records.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to convey complex concepts to non-technical stakeholders.
What We Offer :
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and innovative work environment.
- Flexible working arrangements and a focus on work-life balance
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