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: Bachelors or Masters 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.
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