Unicity International · 6 days ago
Senior Analytics Engineer
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Responsibilities
Model complex business problems and discover insights through statistical, algorithmic, mining, and visualization techniques
Collect, store, and analyze data from a wide variety of sources and data structures
Communicate results clearly and concisely to provide insight to multiple audiences
Follow consistent practices to ensure data integrity and handle imperfections in data
Champion the acquisition of new data sources to enhance value and fill gaps; automate collection processes; effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasets; collaborate with business stakeholders to ensure solid data understanding and proper data transformation; work cross-functionally with development and engineering teams; analyze large amounts of information to discover trends and patterns; draw conclusions and gain actionable insights
Build predictive models; propose solutions and strategies for business problems; apply the appropriate machine learning algorithm to data problems (e.g., supervised vs. unsupervised machine learning, clustering, ensemble methods, etc.); validate model results
Work closely with engineering and BI teams to deploy models
Develop relationships with individuals inside and outside of IT; address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques; gain support from related stakeholders for analytic solutions and champion data-driven business decisions
Apply appropriate statistical techniques to data exploration and model development/assessment; communicate complex statistical concepts to non-technical audiences; maintain skills through continuing education
Create meaningful data visualizations to communicate results and highlight business impact; utilize various techniques and delivery methods of visualization that are audience appropriate
Effectively collaborate with others to deliver efficient and high-quality code; implement solid validation processes to ensure consistency and minimize errors; champion more efficient ways to produce code iteratively; maintain skills through continuing education; stay up to date on new technologies/tools; seamlessly transition between languages to apply the right approach to the problem
Qualification
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Required
Bachelor's degree in IT or math-related field and 7 years of experience in analytics OR Master's degree in IT or math-related field and 5 years of experience in an analytics role
Problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills
Expert SQL, Python, R, database management skills
Excellent data visualization skills
Knowledge of data architecture and structure
Experience with machine learning, statistical modeling, predictive modeling
Experience with AWS, Postgres, cloud-based data systems a big plus
Benefits
Health, Dental, Vision, Life insurance
Paid maternity and paternity leave
Generous vacation allowance and company-paid holidays
401(k) with company match
Substantial company product allowance
Reimbursement for internet, cell phone, and gym/wellness activities
Flexible work schedule
Company
Unicity International
Unicity International engages in the research, education, and development of new formulations for health and wellness.
Funding
Current Stage
Early StageTotal Funding
unknown2021-08-01Angel· Undisclosed
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