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Associate - Data Scientist

Job Details

  • Job Posting Type Managed on Cluzters.ai

Full Time Job Requirement Details

  • Designation Associate - Data Scientist
  • Required Skills R Programming, Python Programming, Machine Learning, Predictive Modeling
  • Position Level Mid Senior Level
  • Years of Experience 2-5 years
  • Indicative Package Range Not Disclosed
  • Domain Expertise Banking and Financial Services
  • Highest Qualification B.E / B.Tech, Any Post Graduation

JOB DESCRIPTION

Responsibilities



  • Train Predictive and Machine Learning models to solve various business questions.

  • Perform ad-hoc exploratory statistics and data mining tasks on diverse datasets from small scale to “big data”

  • Select features, building and optimizing classifiers using machine learning techniques

  • Data mining using state-of-the-art methods

  • Extend company’s data with third party sources of information when needed

  • Enhance data collection procedures to include information that is relevant for building analytic systems

  • Process, cleanse, and verify the integrity of data used for analysis

  • Carry out ad-hoc analysis and present results in a clear manner

  • Build Prototypes to demonstrate the derive actionable insights from data, as part of Agile teams

  • Work with Data Engineers to define data requirements and review recommended architecture

  • Program advanced analytics capabilities and algorithms to be included in new business solutions.

  • Develop visualization interfaces that help business make more insightful decisions

  • Maintain cutting edge in Data Science

  • Take initiative in evaluating new approaches from data science research

  • Test new tools and packages

  • Support the programs for changing the business culture towards more data driven

  • Identify, profile, analyze and present the data discovery output for analytic projects

  • Develop data ingestion pipeline and create the analytic data assets for analytic projects

  • Work with data engineer to enhance the analytic data infrastructure and develop enterprise analytic data mart

  • Perform data wrangling and feature engineering for machine learning

  • Create helper functions to automate frequently encountered wrangling and feature engineering tasks

  • Skills and Experience


Requirements



  • PhD/Masters/Bachelors in Computer Science, Statistics, Applied Mathematics, Operations Research, or related disciplines.

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

  • Highly proficient with data wrangling, analytic, transformation and feature engineering using programming tools such as Spark, Python or R. Excellent knowledge of SQL.

  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc .

  • Experience with data visualisation tools, such as D3.js, GGplot, etc.

  • Proficiency in using query languages such as SQL, Hive, Pig

  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

  • Good scripting and programming skills (Python, Java, Spark…)

  • Experience with commercial Analytics packages is a plus (Teradata, SAS, Qlikview…)

  • Practical experience in following domains, in addition to Machine Learning, is a plus: Natural Language Processing, Deep Learning, Time Series, Web/Log Analysis, Streaming Data Analysis, Geospatial Analysis

  • Great communication skills

  • Data-oriented personality

  • Excellent communication and presentation skills.

  • Taste for working in teams, self-starter, able to work on multiple projects in parallel

  • Experience

  • At least 3 years of industry experience in data analytics working in a big data environment

  • Experience working in multi-cultural environments 

ABOUT COMPANY

DBS, a leading financial services group headquartered in Singapore, operates across 18 markets. We are an Asia-centric commercial bank focused on harnessing the region’s long-term potential as the centre of economic gravity shifts eastwards to Asia. A frontrunner in digital transformation, we seek to deliver a new kind of banking that is so simple, seamless and invisible, that customers have more time to spend on the people or things they care about. At DBS, we are also a strong advocate of building a sustainable future. Working with partners, we empower people to live larger than themselves. We create avenues that encourage our customers to live socially-conscious; establish platforms to help social entrepreneurs bring their ideas to life; and provide the next generation with opportunities to develop innovative solutions that address sustainability issues. We are distinct from local lenders or global players. As an Asian specialist and a leader in digital transformation, we have the reach and sophistication to outcompete local lenders, and deep Asian insights that distinguish us from global competitors. We seek to intermediate trade and investment flows between Asia’s three key axes of growth – Southeast Asia, Greater China and South Asia – as well as participate in Asia’s growing affluence. Our key franchises are in Singapore, Hong Kong, China, Taiwan, India and Indonesia. In Singapore, we are a universal bank serving all customer segments, including the mass market through the DBS and POSB, also known as the “People’s Bank”. In our other markets, we focus on three lines of business: - Corporate banking - SME banking - Wealth management

Location

Location Information

  • Location: Singapore - Get Directions
  • Formatted Address: Singapore
  • Country: Singapore