Data Science Strategist
6 days ago
We are seeking a seasoned Data Scientist with 5 to 10 years of experience to join our team at 4P Consulting Inc. This role is critical in transforming data into actionable insights, building predictive models, and driving data-driven decision-making.
About the RoleA Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. The ideal candidate will have advanced analytics skills, strong problem-solving abilities, and excellent communication skills to convey complex findings to both technical and non-technical stakeholders.
Key Responsibilities- Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights.
- Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques.
- Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries.
- Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations.
- Feature Engineering: Engineer and select relevant features for machine learning models, enhancing their predictive power.
- Algorithm Development: Build and fine-tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem.
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Master's or Ph.D. is a plus.
- 5 to 10 years of experience in data science, including machine learning and statistical analysis.
- Proficiency in data analysis tools and programming languages such as Python, R, or Julia.
- Strong knowledge of machine learning algorithms and their applications.
- Experience with data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).
- Solid understanding of databases and data manipulation using SQL.
- Excellent problem-solving and critical thinking skills.
- Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders.
- Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark).
- Knowledge of data ethics, privacy, and compliance considerations.
The estimated salary range for this position is $120,000 - $180,000 per year, based on industry standards and location.
BenefitsWe offer a competitive benefits package, including health insurance, retirement savings plan, paid time off, and professional development opportunities.
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