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Job Title
Data Scientist
Location:
Silver City, Pasig, Philippines
Job ID:
JOB_0070
Required Skills:
Job Description

Welcome to Pioneer Square Brands, a dynamic and innovative company at the forefront of the consumer goods industry. Committed to delivering high-quality products, we take pride in our dedication to excellence, creativity, and customer satisfaction. With a diverse portfolio featuring renowned brands (Brenthaven, Gumdrop, and VAULT), our mobile technology accessories ensure our customers achieve successful technology deployments. Our team comprises passionate individuals united by a shared vision to shape the future of our industry. If you are seeking a challenging and rewarding position in a fast-paced environment where your ideas are highly valued, join us at Pioneer Square Brands and become an integral part of our exciting journey.

 

Our Mission: To become the leading global provider of rugged technology accessories for classroom and enterprise environments.

 

Our Core Values:

  • Bring Passion Everyday
  • Be Genuine and Respectful
  • Execute with Excellence

 

Data Scientist

 

Pioneer Square Brands has a global footprint with office locations in High Point NC, and Manila, Philippines.

 

We are actively looking for highly motivated and energetic professionals with a positive attitude who desire to be part of our growing team. Competitive salaries and benefits, including profit sharing, await the successful candidate.

 

Job Responsibilities:

  • Responsible for analyzing the business, documenting the organizational processes, and evaluating the business models
  • Research best practices and support developing solutions and recommendations using business analysis
  • Perform routine business analysis using various techniques, e.g., statistical analysis, explanatory and predictive modeling, and data mining from internal and external sources to answer the industry and business questions
  • Interpret business needs of customers and translate them into the application and operational requirement with the help of strong analytical and product management/knowledge skills
  • May assist in developing or implementing systems to capture business operation
  • Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling
  • Produce written and oral documentation/presentation to support the data analysis and report on findings to present to the higher management, if necessary
  • Develop and monitor data quality metrics and ensure business data and reporting needs are met
  • Identify and recommend new ways to create value and develop action plans to measure their impact
  • Create new processes, optimize, and standardize existing ones
  • Other tasks that may be assigned

 

Job Requirements:

  • Ability to code, specifically with either Python or SQL is required
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
  • Proficient in MS Excel including pivot tables, lookup, macros and knowledge of MS Office, MS Access, MS Outlook, and MS PowerPoint
  • Logical, analytical, critical thinker, and capable of maintaining the confidentiality of sensitive information
  • Excellent command of the English Language is a must, both written and verbal
  • Detail-oriented and self-directed
  • Good organization skills, including the ability to prioritize work
  • Good personal skills with the ability to effectively work with individuals and groups at all organization levels; ability to work independently and as part of a team
  • Willingness to adapt to changing business
  • Must have a work ethic that includes neatness, punctuality, and great attendance
  • Experience with CRM software (NetSuite) is a plus
  • Can work in high pressure environment with high sense of responsibility
  • A drive to learn and master new technologies and techniques
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