Who are we
Fulcrum Digital is an agile and next-generation 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.
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· 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
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/unsupervisedlearning, 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