Entity:
Data Scientist
Duties And Responsibilities
Partner closely with stakeholders to identify high-impact applications of data to solve meaningful business problems.
Identify, mine, and analyze medium and large size datasets to unearth insights that drive new business value for clients.
Develop robust statistical and machine learning models and implement processes to evaluate, automate and improve model performance.
Lead efforts with various functions to test, deploy and iterate on data science solutions
Build, execute, and evaluate A/B tests
Manages the progress of projects by tracking activity, resolving issues, and recommending actions; Provides senior management and project management with regular updates on deliverable timeline and project status.
Analyzes data and collaborates with leadership and technical teams to identify potential insights to drive decision making
Responds proactively to both business and project issues and escalates appropriately.
Train other data scientists in area of expertise
Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them)
Required Technical Skills
Experience working with SQL to manipulate medium/large data sets from multiple sources
Ability to process complex data sets
Ability to perform exploratory data analysis to discover interesting trends and relationships
Experience applying statistical modelling, machine learning, NLP, and other quantitative techniques to solve business problems
Experience in deep learning
Possess understanding of and ability to communicate statistics to experts and non-experts
Creative thinker who has proven ability to innovate through data exploration and application of solutions
Ability to thrive in an environment that requires flexibility and multi-tasking
Ability to take initiative and work with high level of independence
Strong technical and remote collaboration skills are a must
Excellent organization, analytical, and planning skills
Experience in dealing with multiple projects and cross-functional teams and ability to coordinate across teams in a large matrix organization environment
Strong relationship building and consulting skills. Fosters a climate conducive to establishing positive working relationships with clients and cross functional team members
Required Licenses, Certifications, And Other Requirements
Fluency in Python
Strong foundation of statistics, machine learning and deep learning
Good understanding of concepts in NLP and Computer Vision
Hands-on experience with ML and DL frameworks
Familiarity with Hadoop, HBase, Hive or MapReduce or Spark (optional)
Education & Experience
Industry experience in quantitative or data-related field (Statistics, Computer Science, Data Analytics, etc.)
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