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Expert Data Scientist
2 months ago
Zenith Services is seeking a highly motivated and skilled Data Scientist Expert to join our growing team. This role will leverage your expertise in data analysis, statistical modeling, and algorithm development to drive innovation and inform strategic decision-making across the organization.
As a key member of our analytics team, you will be responsible for extracting valuable insights from complex datasets, identifying trends and patterns, and developing predictive models to support business objectives. Your contributions will directly impact our ability to optimize operations, enhance customer experiences, and gain a competitive edge in the market.
Responsibilities:- Data Analysis and Exploration: Utilize advanced statistical techniques to analyze large datasets and extract actionable insights. Develop algorithms and models to identify patterns, trends, and correlations within the data.
- Statistical Modeling: Design and implement predictive models using machine learning algorithms such as regression, classification, clustering, and time series analysis. Validate models for accuracy, reliability, and robustness.
- Algorithm Development: Develop and optimize algorithms for data mining, feature extraction, and anomaly detection. Collaborate with cross-functional teams to deploy algorithms into production systems.
- Research and Development: Stay abreast of the latest advancements in data science, machine learning, and related fields. Conduct research to explore novel approaches and techniques for solving complex data-related problems.
- Data Visualization and Communication: Present findings and insights to stakeholders using compelling data visualizations, reports, and presentations. Collaborate with business teams to translate analytical findings into actionable recommendations.
- Data Governance and Ethics: Ensure compliance with data governance policies and regulations. Uphold ethical standards in data collection, analysis, and usage.
- Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Strong background in statistical analysis, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python, R, or Julia.
- Experience with data manipulation and visualization tools like SQL, Pandas, Matplotlib, and Tableau.
- Ability to work with large-scale datasets and distributed computing frameworks such as Hadoop, Spark, or Dask.
- Excellent communication and collaboration skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills and a passion for tackling real-world challenges using data-driven approaches.
