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Sobre este puesto de Senior Data Scientist en CAI

CAI · Presencial · Manila - One World Square
Senior Data Scientist

Req number:

R8478

Employment type:

Full time

Worksite flexibility:

Hybrid

Who we are

CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

We are looking for a motivated Senior Data Scientist ready to take us to the next level! If you have experience in designing and implementing advanced analytics solutions, including machine learning models and Generative AI applications, and are looking for your next career move, apply now.

Job Description

We are seeking an experienced Senior Data Scientist to deisgn and implement advanced analytics solutions, including machine learning models and Generative AI applications. This position will be full-time and hybrid in Mandaluyong City.

What You'll Do

  • The Senior Data Scientist will be responsible for designing and implementing advanced analytics solutions, including machine learning models and Generative AI applications

  • The role also includes data engineering tasks, such as building data pipelines, and data visualization responsibilities using tools like Power BI

  • The candidate will work closely with cross-functional teams to deliver actionable insights and support data-driven decision-making across the organization

  • Design and develop machine learning models and Generative AI applications

  • Perform data analysis and statistical modeling to extract insights

  • Build and maintain scalable data pipelines and ETL processes

  • Create interactive dashboards and reports using Power BI

  • Collaborate with stakeholders to understand data requirements

  • Ensure data quality and integrity through validation and quality checks

  • Stay updated with the latest trends in data science and visualization

  • Perform other relevant tasks as assigned

What You'll Need

Required:

  • At least 5 years of experience in data science or related roles

  • Experience in machine learning, statistical modeling, and Generative AI

  • Proficiency in Python, R, SQL, and data visualization tools like Power BI

  • Experience in building and maintaining data pipelines

  • Familiarity with cloud platforms such as Azure or AWS

  • Strong analytical and problem-solving skills

  • Excellent communication and storytelling skills

  • Experience working in Agile teams and with cross-functional stakeholders

  • Ability to work with senior executives from diverse cultures

  • Excellent oral and written communication skills in English

Physical Demands

  • Ability to safely and successfully perform the essential job functions

  • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

  • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.

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Sobre CAI

At CAI, we’re people who help people. As a privately held company with a global footprint, our 8,500 associates have the freedom and the focus to do what’s right for our clients, colleagues, and communities. We have a 40-year history of combining our dual strengths of talent and technology to deliver lasting results across the public and commercial sectors. And for nearly a decade, we’ve been national trailblazers in bringing neurodiversity to the enterprise. Learn how CAI powers the possible at www.cai.io

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