About the Role:
We are looking for a talented MI Engineer to join our team and help us turn data into actionable insights. You will work with large datasets, develop predictive models, and deliver data-driven solutions that support business objectives across various functions. The ideal candidate is proficient in statistical analysis, machine learning, and data visualization, and has a passion for solving complex problems.
Key Responsibilities:
• Collect, clean, and analyze large datasets to identify trends, patterns, and opportunities.
• Develop, test, and deploy predictive models and machine learning algorithms to solve business challenges.
• Collaborate with cross-functional teams including product, marketing, and engineering to translate business needs into data science solutions.
• Create clear and compelling visualizations and reports to communicate findings and recommendations to stakeholders.
• Continuously improve data processes and pipelines to ensure data quality and accessibility.
• Stay current with emerging data science techniques and tools to drive innovation.
• Support experimentation and A/B testing to validate hypotheses and measure impact.
Qualifications:
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience with data analysis tools and programming languages such as Python, R, SQL, and/or SAS.
• Strong understanding of machine learning algorithms and statistical modeling techniques.
• Proficiency with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
• Experience working with large datasets and data engineering concepts.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to explain complex concepts to non-technical audiences.
Preferred Qualifications:
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of business intelligence and domain-specific knowledge relevant to the industry.
Why Join Us?
• Opportunity to work on impactful projects that drive business growth.
• Collaborative environment that fosters learning and innovation.
• Competitive salary and benefits package.
• Professional development and career advancement opportunities.
