Vimerse InfoTech Inc
The Data Scientist will be part of Decision Science team and will partner with various business units to research and develop machine-learning models or any other tools leveraged in the strategies.
Duties & Responsibilities • Design, develop, document and maintain machine learning tools (e.g. models) to extract hidden insights in the vast amount of data that Credit, Marketing and/or Operations can use to make their respective strategies and processes more efficient and effective. • Be the subject matter expert in machine learning algorithms and their applicability. • From time to time, be involved in search of relevant big data and in assessing 3rd party vendor's capabilities. • Cultivate collaborative environment with other business units and internal stakeholders. • Identify risk and opportunities in different areas of the business.
Requirements
Development • Master's or PhD in quantitative fields. Data science related major is a big plus. • Proficiency in statistics (e.g. experimental design, hypothesis testing). • Know how to obtain and use big data (structured and unstructured). • Proficiency in machine learning techniques (Gradient Boosting, Random Forest, Neural Network, etc.). Proficiency in NLP and graph databases is a big plus. • Experienced with end-to-end machine learning pipeline: From data extraction, feature engineering to model building, performance evaluation and implementation. • Proficiency in SQL, Python and its machine learning libraries (panda, scikit-learn, matplotlib, etc.). • Practical; grabbing small wins frequently. • Creative and curious. • Desire and ability to learn new tools and techniques. • Able to work independently and collaborate remotely.
Culture • Be confident and willing to challenge status quo but also willing to concede and execute other's ideas when necessary • Capable of teaching and learning from others to promote continuity of knowledge and personal development • Ability to work effectively independently and as a team member • Excellent English written and verbal communication skills • Able to travel to East Coast as needed.
Must-Haves
SQL programming ability
Python coding knowledge
Hands on experience with machine learning libraries (could be for projects, not necessarily in a full-time job)
Duties & Responsibilities • Design, develop, document and maintain machine learning tools (e.g. models) to extract hidden insights in the vast amount of data that Credit, Marketing and/or Operations can use to make their respective strategies and processes more efficient and effective. • Be the subject matter expert in machine learning algorithms and their applicability. • From time to time, be involved in search of relevant big data and in assessing 3rd party vendor's capabilities. • Cultivate collaborative environment with other business units and internal stakeholders. • Identify risk and opportunities in different areas of the business.
Requirements
Development • Master's or PhD in quantitative fields. Data science related major is a big plus. • Proficiency in statistics (e.g. experimental design, hypothesis testing). • Know how to obtain and use big data (structured and unstructured). • Proficiency in machine learning techniques (Gradient Boosting, Random Forest, Neural Network, etc.). Proficiency in NLP and graph databases is a big plus. • Experienced with end-to-end machine learning pipeline: From data extraction, feature engineering to model building, performance evaluation and implementation. • Proficiency in SQL, Python and its machine learning libraries (panda, scikit-learn, matplotlib, etc.). • Practical; grabbing small wins frequently. • Creative and curious. • Desire and ability to learn new tools and techniques. • Able to work independently and collaborate remotely.
Culture • Be confident and willing to challenge status quo but also willing to concede and execute other's ideas when necessary • Capable of teaching and learning from others to promote continuity of knowledge and personal development • Ability to work effectively independently and as a team member • Excellent English written and verbal communication skills • Able to travel to East Coast as needed.
Must-Haves
SQL programming ability
Python coding knowledge
Hands on experience with machine learning libraries (could be for projects, not necessarily in a full-time job)