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MhyMatch - Lead - Data Analytics
4 months ago
Brief Overview of the Job Description :
- As the Lead - AI Analytics, you will be responsible for leveraging advanced analytics techniques and AI algorithms to extract valuable insights from complex datasets.
- Your primary focus will be developing and implementing AI-driven analytics solutions to drive data-driven decision-making and improve business outcomes.
Key Responsibilities :
- Develop and implement AI models and algorithms to analyze large datasets and extract actionable insights.
- Collaborate with cross-functional teams to understand business requirements and design AI-powered analytics solutions that address specific business challenges.
- Conduct exploratory data analysis to identify patterns, trends, and anomalies in data,and provide recommendations based on findings.
- Build predictive and prescriptive models using machine learning and deep learning techniques to forecast future trends and optimize business processes.
- Evaluate the performance of AI models using appropriate metrics and fine-tune algorithms to improve accuracy and efficiency.
- Stay updated on the latest advancements in AI, machine learning, and data analytics technologies, and incorporate innovative approaches into analytical projects.
- Communicate complex analytical findings and insights to non-technical stakeholders in a clear and understandable manner.
- Collaborate with IT teams to deploy AI models into production environments and ensure scalability and reliability.
- Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and professional development.
- Adhere to data privacy and security regulations while handling sensitive information and ensuring compliance with company policies and industry standards.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience in developing and implementing AI-driven analytics solutions, preferably in a business or industry setting.
- Strong proficiency in programming languages such as Python, R, or Java.
- Experience with libraries and frameworks for machine learning and AI (e., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of statistical analysis, data mining, and predictive modeling techniques.
- Experience working with big data technologies and distributed computing frameworks (e., Hadoop, Spark) is a plus.
Knowledge :
- In-depth knowledge of AI, machine learning, and data analytics techniques.
- Understanding of data privacy and security regulations.
Skills :
- Excellent problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Attention to detail and a commitment to delivering high-quality results within tight deadlines.
Attitude :
- Proactive and results-oriented mindset.
- Strong sense of responsibility and ownership.
- Eagerness to learn and adapt to new technologies.
Work Environment :
- Collaborative and innovative work culture.
- Emphasis on continuous learning and development.
- Supportive and inclusive team dynamics.
Key Performance Indicators :
- Accuracy and efficiency of AI models.
- Improvement in business outcomes through AI-driven insights.
- Timeliness and quality of analytics deliverables.
- Team development and mentorship effectiveness.
Salary and Benefits :
Competitive salary based on experience and qualifications Comprehensive benefits package including health insurance, paid time off, and professional development opportunities
Company Overview :
- Our client stands as a leading player in the market, dedicated to delivering top-quality products and services to our valued customers.
- With an unwavering focus on innovation and customer satisfaction, they continuously strive for excellence in every endeavor.
- Their passionate, driven team is committed to making a significant positive impact within the industry, ensuring they remain at the forefront of progress and success