Senior Data Scientist, Careers

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Salary Range

Singapore 114,000 - 166,000 SGD per year

Your Job

As a Data Scientist at Indeed your role is to follow the data. Analyze and visualize them. You will also build and implement machine learning models to make timely decisions. You will have to effectively work independently and as part of a team, and be able to execute loosely-defined work items, including defining precise requirements. As a self-motivated and independent learner, you will also have access to unparalleled resources within Indeed to grow and develop skills both personally and professionally.

The Careers team helps millions of job seekers every week to understand and explore different careers. A key part of this product is understanding compensation and benefits offered for various roles and companies. Indeed has a vast collection of such information extracted from jobs and jobseekers, and we’re looking for passionate data scientists to help convert that data into thoughtful insights for our users.

We’re looking for a Senior Data Scientist to join our growing team here at Indeed.

Responsibilities:

• Support product development and initiatives, including understanding business needs, identifying product requirements and use-cases, documenting data requirements, etc.
• Build machine learning models and iterate to improve over existing models through experimentation and adoption of machine learning ops best practices
• Work closely with the engineering team to deploy, validate and monitor the machine learning models

Who You Are

• Bachelor’s degree in Computer Science, Statistics, Electrical Engineering, Mathematics, or a closely related quantitative field
• 3+ years of professional industry experience in Data Science, Business Analytics, or Data Analysis
• Expertise in machine learning, natural language processing, and statistical modeling
• Passion to answer Product/Engineering questions with data
• Strong communication and collaboration skills

We get excited about candidates who:

• Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of data science products
• Have the desire to solve difficult problems at the intersection of machine learning, data engineering, and software engineering
• Communicate concisely and persuasively with engineers and product managers
• A growth-oriented individual ready to step out of one’s comfort zone and learn quickly and comprehensively to tackle new scopes of works