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Senior Data Scientist
2 months ago
5+ years of experience
Responsible for developing data-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions
Activities include developing and creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting and data visualizations
Some of the main ETL tools is what they use
Responsibilities
· Leads complex initiatives and projects to derive insights from extracted data to solve critical business questions
· Translates client/ stakeholder needs into technical analyses and/or solutions in collaboration with internal and external partners and presents findings and outcomes to clients/ stakeholders
· Identify rich data sources and monitors the melding and cleaning of datasets to ensure consistency
· Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews
· Guides other to develop sophisticated multivariate models and analytic solutions (e.g., dashboards, prototypes) utilizing complex statistical and data science techniques and methods
Requirements
Experiences
· Demonstrated success when contributing accurate, technically innovative components for analytics/ product development projects
· Experience managing day-to-day cross-functional communications and collaboration to meet project deadlines
· Demonstrated success collaborating with clients and effectively communicating project outcomes, methodologies and considerations to key stakeholders
· Successful track record in independently conducting complex analyses and guiding junior team members through complex/ ambiguous issues
· Served as an expert resource or go-to person for a specific consulting tool(s), system(s), and/or application(s)
· Experience in predictive modeling, data science, and analysis in both batch and streaming settings.
· Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility.
· Experience in anomaly detection, supervised/unsupervised learning, time-series data, and natural language processing.
· Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc.
· Hands-on experience with ETL and Dashboarding tools such as Domo, Alteryx, Grafana.
· Hands-on experience with ITSM concepts and tools such as BMC Remedy