Data Scientist

BusinessMinds Philippines
11-50 employees
Taguig, Metro Manila
The Data Scientist will produce and implement innovative data and AI solutions. Highly analytical, the data scientist should be able to manage and transform large data sets (data engineer) in a form that’s ready to capture business trends (visualization) and apply complex algorithms (data science).   A specialized track in data science would highly be considered if a candidate can apply knowledge of statistics, machine learning, predictive modeling, programming and advanced mathematics to recognize patterns, identify opportunities and produce AI engines to influence an outcome.  The chosen data scientist candidate will be immersed in Implementation Practice (development, production implementation & support, system requirements gathering) and Solution Build (prototyping, build and packaging of data/analytics solutions, iterating AI programs).  Multiple level roles are available – from junior to senior consultants.
 
Job Scope:
  • Use a flexible, analytical approach to design, develop and evaluate predictive models or advanced algorithms in machine learning.
  • Provide strategies and develop project implementation details which include analytical base table structures, feature engineering, modeling approach, test/train strategies, accurate model measurements and model management.
  • Develops, creates and prepares data marts for analytics use cases.
  • Demonstrate and deliver rapid prototypes as well as end-to-end fully-tested mature data pipeline processes.
  • Strongly influence business decisions by developing and institutionalizing data-driven analytics.  Collaborate with technical users & senior customer stakeholders to define data science requirements, establish business rules to be applied and show business value of data outputs.
  • Support implementation projects & solution builds for Philippines, Denmark, and Australia (onsite in-country or remote)
Knowledge/Skills/Experience:
  • At least 4 years in any field of data & analytics (data mining, predictive analytics, machine learning, business intelligence, data management).  More senior applicants are encouraged to apply and will be provided Senior/Principal roles and compensation.
  • Minimum of 2 years of hands-on data analytics experience statistical or predictive modeling. Comfortable working with large, complex data sets from varying sources (e.g., transactional & enterprise data, unstructured data sets, internet/public data or data science research).
  • Ideally, the candidate should show experience in programming and relevant or practical experience in one or more of the following:
    • Experience with any statistical or data science computing languages, e.g. Python, R, SAS, etc.
    • Experience in data engineering or data integration/consolidation; ETL tools or programming (SQL),
    • Skilled in data visualization
    • Nice to have and advantage but not a requirement:
      • Experience with any big data / machine learning technologies, platform or tools such as Spark, Scala, HDFS (Cloudera, MapR), Redshift, NoSQL, etc.), etc.
      • Experience in subject domains (customer or product analytics, digital apps, web analytics, location analytics, fraud, and others)
  • Excellent communication and presentation skills, both written and oral. Able to translate outcomes into business value
  • Bachelor’s Degree in Computer Science, Statistics, Applied Math, Engineering or other quantitative fields

How to Apply

Sounds like a career for you?

Please email your resume and cover letter at [email protected] 

BusinessMinds Philippines

Our Company

BusinessMinds is a leading international management consulting firm that delivers value through our end-to-end Business Intelligence (BI) and Analytics Services and business partnerships.  Our mission is to significantly build business value by improving business processes through insight. We help large enterprises optimize business processes based on detailed insight into its data and information. We call it fact-based business process optimization.
 
With decades of success, BusinessMinds continue to grow in various markets.  We have established offices in Australia, Denmark, and the Philippines serving multiple industries.  Our consultants' focus and core competencies are in the areas of Analytics, Data Mining, Performance Management, Information Management, Business Intelligence, and Data Warehousing, Propensity Modeling, Customer Segmentation, Campaign Analysis and other disciplines of data management and predictive analytics.

Our Value Proposition

We deliver strategy, development, implementation and management consultancy to identify, plan, select, develop and implement successful business intelligence, advanced analytics, performance management, and data warehouse solutions. By providing ongoing insights to decision makers, we aid in redesigning business processes and give you the tools to make ongoing adjustments where needed.

Our Approach

With trusted, international expertise across a wide range of industries, we focus on providing pragmatic, actionable solutions with minimum expenditure and maximum knowledge transfer to improve business value and control.  As a point of distinction, the BusinessMinds' core consultancy practice starts with business performance, business pain, and target results identification and discovery before analyzing bits-bytes and technology platforms.  Thus, when we implement, we can ensure flexible solutions focused on letting enterprise data become your company's primary competitive asset.  Wherever possible, the delivered solution will be based on and make the best use of your existing tools, delivered in conjunction with your nominated team members.

Our Services

We specialize in end-to-end information preparation and data mining, enabling the insights required to optimize your decision making:
  • Analytics, data mining, propensity modeling
  • Big Data analytics with cloud offering
  • Customer segmentation
  • Campaign analysis
  • Information management
  • Business intelligence
  • Data warehousing

Learn more at :
http://www.businessminds.com/