Enable job alerts via email!

Data Specialist

ELLIOTT MOSS CONSULTING PTE. LTD.

Singapore

On-site

SGD 70,000 - 100,000

Full time

Today
Be an early applicant

Job summary

A leading consulting firm in Singapore seeks a highly skilled Data Scientist to enhance data-driven decision-making. You will leverage advanced analytics and machine learning while collaborating with stakeholders. Key responsibilities include translating business challenges into analytical frameworks, communicating insights through data storytelling, and ensuring high data quality throughout the modeling process. Ideal candidates will demonstrate proficiency in Python, data visualization techniques, and effective communication skills.

Qualifications

  • Proficiency in scripting for data preparation and analysis using Python, R, or SQL.
  • Ability to build, validate and deploy machine learning models.
  • Strong ability to communicate complex data findings to non-technical stakeholders.

Responsibilities

  • Facilitate discussions with stakeholders to identify data science projects.
  • Perform data cleaning, preprocessing, and feature engineering.
  • Communicate insights through visualizations to influence decision-makers.

Skills

Data visualization design
Statistical analysis
Machine learning
Data cleaning
Data storytelling
Python
SQL
R

Tools

Tableau
Power BI
matplotlib
seaborn
Plotly
Job description

We are seeking a highly skilled and motivated Data Scientist to join our team and drive data-driven decision-making across the organization. The role requires a unique blend of business acumen, technical expertise, and storytelling ability. You will collaborate with stakeholders to understand business challenges, translate them into data science problems, and develop actionable insights through advanced analytics and machine learning. Beyond analysis, you will communicate results through impactful narratives and visualizations, enabling stakeholders to make informed, strategic decisions.

Key Responsibilities
  • Facilitate discussions with stakeholders to understand their business challenges, sharpen use cases, and translate them into data science projects.
  • Perform data cleaning, preprocessing, feature engineering, and build robust data science models to address identified use cases.
  • Present findings, gather feedback, and iterate in collaboration with stakeholders while managing overall project timelines.
  • Communicate insights in a clear and compelling narrative, supported by impactful data visualizations, to influence key decision-makers.
  • Design dashboards and interactive visualizations as tools for data exploration and storytelling, depending on the use case.
  • Translate business use cases into analytical problems and identify appropriate data sources for problem-solving.
Experience & Skills
  • Strong ability to translate business problems into analytical frameworks and select suitable data sources.
  • Proficiency in scripting for data preparation and analysis using modern tools and programming languages (e.g., Python, R, SQL).
  • Skilled in cleaning, imputing, and correcting anomalies in structured and unstructured datasets to ensure high data quality.
  • Hands-on experience in exploring and analyzing datasets, applying probability and statistical techniques to uncover insights.
  • Proven ability to build, validate, and deploy machine learning models for pattern recognition, prediction, and optimization. Strong grounding in data visualization design principles and experience with tools (e.g., Tableau, Power BI, matplotlib, seaborn, Plotly) to effectively communicate insights. Excellent communication and presentation skills to convey complex data findings to non-technical stakeholders.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.