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Executive, Data Science & Analytics

Executive, Data Science & Analytics

REV Media GroupPetaling Jaya, Selangor, Malaysia
9 hari lalu
Penerangan pekerjaan

Overview

Join to apply for the Executive, Data Science & Analytics role at REV Media Group

We’re looking for a curious, driven, and technically capable Executive, Data Science & Analytics to join our growing team. This role is ideal for someone early in their data science journey who’s passionate about learning and applying machine learning techniques to solve real-world media and audience challenges.

Responsibilities

We’re looking for a curious, driven, and technically capable Executive, Data Science & Analytics to join our growing team. This role is ideal for someone early in their data science journey who’s passionate about learning and applying machine learning techniques to solve real-world media and audience challenges.

  • Assist in preparing and cleaning raw data for use in analytical models.
  • Support the design, development, and deployment of machine learning models using tools such as Vertex AI and Gemini.
  • Conduct exploratory data analysis and create visualizations to derive actionable business insights.
  • Work on experimentation and model training for projects such as generative AI assistants and summarization, lookalike audience models for targeting, content recommendation engines, and natural language–driven chatbots.
  • Collaborate with data engineers and product managers to bring prototypes into production environments.
  • Help monitor and evaluate model performance and iterate based on feedback and results.
  • Contribute to automated reporting and dashboarding efforts using BI tools (e.g., Looker Studio, Tableau).
  • Continuously learn and explore new tools and frameworks within the Google Cloud ecosystem.

Requirements

  • 2 to 3 years of experience in a data science, analytics, or machine learning–related role.
  • Working Knowledge Of
  • Python, SQL, and data manipulation libraries (e.g., Pandas, NumPy)
  • Google Cloud Platform (GCP) services (especially Vertex AI, BigQuery, Gemini)
  • Basic ML algorithms and data modeling techniques
  • Familiarity with machine learning concepts such as classification, clustering, regression, recommendation, and NLP.
  • Hands-on experience with any cloud-based ML or AI platform (Vertex AI preferred).
  • Knowledge of Generative AI and LLM-based applications is a strong advantage.
  • Degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Strong analytical thinking and attention to detail.
  • Self-starter with the ability to work independently and with minimal guidance in a lean team environment.
  • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Comfortable working in a fast-paced and collaborative environment.
  • Our Offer

  • Work with a young and vibrant team in a fast-paced startup environment, embracing new and exciting challenges daily.
  • Stay ahead of the curve by upskilling your knowledge and adapting to the latest technologies in the field.
  • Experience upgrading career development within the company, unlocking new and exciting opportunities.
  • Enjoy an attractive remuneration package that rewards your dedication and commitment.
  • Benefit from flexible working arrangements, including a hybrid mode setup.
  • Engage in monthly team events / activities that foster camaraderie and create lasting memories.
  • Join a team that values work-life balance and supports you in finding the perfect equilibrium.
  • If you think you fit for the role above, do drop a copy of your CV / Resume, together with an introduction email telling why you are interested in the role, notice period (if applicable) and expected salary to

    Seniority level

  • Entry level
  • Employment type

  • Full-time
  • Job function

  • Business Development and Sales
  • Industries

  • Advertising Services
  • Referrals increase your chances of interviewing at REV Media Group by 2x

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