Use Natural Language Processing to extract insight from text
Design database models (if a data mart or operational data store is required to aggregate data for modeling)
Design visualizations and build dashboards in Tableau and/or PowerBI
Extract business insights from the data and models
Present results to stakeholders (and tell stories using data) using power point and/or dashboards
Work collaboratively with other team members
About You:
Must have a minimum of 3 years of experience working in the data science domain
Degree preferred in a quantitative field (Computer Science, Statistics, etc.
Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK
Highly proficient in Python
Highly proficient in SQL
Experience with Tableau and/or PowerBI
Has worked with Amazon Web Services and Sagemaker
Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica
Experience with one or more of the following types of business analytics applications:
Predictive analytics for customer retention, cross sales and new customer acquisition
Pricing optimization models
Segmentation
Familiar with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake
Proficient in machine learning, statistical modelling, and data science techniques
Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations
Excellent organizational, analytical and problem-solving skills
Ability to communicate complex results in a simple and concise manner at all levels within the organization
Ability to excel in a fast-paced, startup-like environment
Consulting Experience with a premier consulting firm
Advanced degree in a quantitative field (ex. Master s, PhD.
#LI-KP2
What s in it For You
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Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Job Classification
Industry: Accounting / AuditingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time