Sr Data Scientist

Who are we
Fulcrum Digital is an agile and nextgeneration digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries including banking & financial services insurance retail higher education food healthcare and manufacturing.

Activities include developing and creating predictive models behavioral segmentation frameworks profitability analyses ad hoc reporting and data visualizations

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 daytoday crossfunctional 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 goto 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/unsupervisedlearning timeseries data and natural language processing.

Handson experience with ML tools such as Numpy SciPy Pandas Scikitlearn Tensorflow Keras NLTK Gensim BERT NetworkX etc.

Handson experience with ETL and Dashboarding tools such as Domo Alteryx Grafana.

Handson experience with ITSM concepts and tools such as BMC Remedy