
Chief Data Strategist
2 days ago
The ideal candidate is expected to thrive in an environment where learning, data analysis, and scalability are key drivers.
Key Responsibilities
- Assess raw data quality, cleanse, and structure for downstream processing to drive business growth.
- Design accurate, efficient prediction algorithms that meet organizational needs.
- Collaborate with cross-functional teams to develop analytical prototypes into production systems.
- Generate actionable insights to inform strategic decision-making and drive business improvements.
- Develop and maintain reports and dashboards for stakeholders to facilitate informed decision-making.
Required Skills and Qualifications
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering.
- 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning.
- Strong understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms.
- Proficiency in programming languages including Python, R, and SQL.
- Hands-on experience with big data frameworks and cloud environments such as Hadoop, Spark, GCP, AWS, or Azure.
- Familiarity with data visualization tools like Tableau, Power BI, or equivalent.
- Strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders.
We Offer a Dynamic Work Environment
In this role, you will have the opportunity to work with a talented team of professionals who share your passion for data-driven decision-making.
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