Data Scientist (Remote)

Position: Data Scientist (Remote)

Location: St Louis, MO

Salary: $90K Plus Benefits/Year

Preferably looking for 8+ Years of experience Candidate

• Developing and creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting and data visualizations
• 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 are what they use.

Responsibilities

Led 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 others to develop sophisticated multivariate models and analytic solutions (e.g., dashboards, prototypes) utilizing complex statistical and data science techniques and methods **

Experience**

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, and 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, and Grafana.

Hands-on experience with ITSM concepts and tools such as BMC Remedy