Data Science Innovation Lead

5 days ago

Manila, National Capital Region, Philippines Neksjob Corporation Full time
About Neksjob Corporation

Neksjob Corporation is a leading innovator in the field of data science, committed to delivering cutting-edge solutions that drive business growth and improvement. Our team of experts works tirelessly to develop and implement advanced analytics models, leveraging machine learning and AI techniques to extract valuable insights from complex data sets.

Job Overview

We are seeking an experienced Data Science Innovation Lead to join our Center of Excellence (COE) team. As a key member of this team, you will play a vital role in developing and implementing best-in-class data science solutions for our clients. Your primary responsibility will be to design, build, and deploy predictive models that help improve processes, boost sales, and drive profitability.

Key Responsibilities:
  • Develop and maintain large-scale data pipelines using Python, SQL, or R, ensuring efficient extraction, transformation, and loading of raw data into structured formats for analysis.
  • Apply advanced statistical methods, machine learning algorithms, and natural language processing techniques to analyze complex data sets, identify patterns, and extract actionable insights.
  • Collaborate with cross-functional teams to develop and deploy cloud-based machine learning and deep learning models, ensuring seamless integration with existing systems.
  • Present findings and recommendations to both technical and non-technical stakeholders, effectively communicating complex ideas and results.

Requirements:
  • Bachelor's degree or equivalent experience in a related field, such as computer science, statistics, or mathematics.
  • Minimum 5 years of experience in data science, with a focus on predictive modeling, machine learning, and data analytics.
  • Strong proficiency in programming languages like Python, SQL, or R, and experience with machine learning frameworks and libraries.
  • Excellent communication and presentation skills, with the ability to effectively convey complex ideas to diverse audiences.

Preferred Qualifications:
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and experience with deploying models on these platforms.
  • Knowledge of data privacy regulations and security best practices, with experience in implementing secure data handling procedures.

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