Data Insights Pioneer
7 days ago
We are seeking a seasoned Data Scientist to lead our data-driven initiatives and support strategic decision-making through innovative analyses and machine learning solutions.
In this role, you will collaborate with cross-functional teams to design, develop, and implement models that enhance processes, inform strategies, and support operational excellence. Your expertise in data analysis, machine learning, and communication will be essential in transforming raw data into strategic assets.
Key Responsibilities:- Develop Predictive Models and Strategies:
- Design and deploy machine learning models for predictive analytics, customer behavior forecasting, anomaly detection, and more. You'll work to continuously optimize models for accuracy and performance.
- Use statistical and computational techniques to analyze structured and unstructured data. You'll identify trends, patterns, and relationships that reveal actionable business insights.
- Partner with data engineers, product managers, and business leaders to align data solutions with strategic objectives. You'll communicate findings effectively to both technical and non-technical audiences.
- Work with data engineering teams to build and maintain data pipelines that support model training, validation, and deployment. You'll automate repetitive tasks to streamline data workflows.
- Track the performance of deployed models and refine them based on feedback and new data. You'll implement model retraining and versioning to ensure continuous improvement.
- Use techniques such as regression, clustering, time-series analysis, and hypothesis testing to solve complex problems and validate findings. You'll leverage tools like R, Python, and SQL for in-depth analysis.
- Advocate for data-driven decision-making within the organization by sharing best practices and mentoring junior data scientists or analysts. You'll contribute to a culture of curiosity and data literacy.
Estimated Salary: $120,000 - $150,000 per year
Requirements:- Machine Learning and Statistical Analysis: Strong experience with building machine learning models and applying statistical techniques to extract meaningful insights from data.
- Programming Proficiency: Proficiency in Python and R for data analysis and model development. Familiarity with libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
- Data Visualization and Communication: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present data findings clearly and effectively.
- SQL and Data Manipulation: Strong ability to query and manipulate large datasets using SQL and other data manipulation tools.
- Problem Solving and Critical Thinking: Proven ability to approach problems methodically, develop innovative solutions, and deliver impactful results.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
Experience Requirements: 3+ years of experience in data science, with hands-on experience in data analysis, machine learning, and model deployment. Experience working with large datasets and cloud-based data platforms is advantageous.
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