Job Location: Remote
Job Detail:
Title: Data Scientist/Engineer
Location: Remote
Note: You must be authorized to work in the U.S.A WITHOUT sponsorship. US Citizen, Green Card.
The Data Scientist works with a team of Data Engineers and Architects, conceives solutions, builds consensus, and effectively presents solutions to the stakeholders and leadership team.
- The Data Scientist leverages data, tools, technical, and business knowledge to drive the development of data solutions at the portfolio and enterprise levels. Portfolio and solution designs and roadmaps will encompass intelligent use of data through data science, machine learning and other predictive/prescriptive functions and support the generation of revenue and enable cost savings/avoidance.
KEY SKILLS:
- Bachelor’s degree in Computer Science, MIS, engineering or related program or directly related experience and certification beyond minimums will be considered.
- Minimum 6+ years of directly related experience in enterprise environment required.
- 3+ years of industry experience in predictive modeling and analysis
- Hands-on experience to build and deploy models using Data Science tools like DataRobot
- Experience with AI and ML solutions for data research and analytics is required.
- Snowflake (Cloud) solution design/implementation experience required.
- Experience in the design, implementation and maintenance of Data Warehousing solutions required
- Ability to structure a problem, gather supporting data with scripting and large data warehousing and write strong narratives to convey findings
- Great attention to detail.
- Excellent communication skills, sharing technical details with team members, project teams, and stakeholders and produces ideas, solutions, and materials for Technology Team Leadership.
- Self-starter and works with minimal supervision with excellent time management, documentation, and relationship management skills.
KEY RESPONSIBILITIES:
- Create new frameworks to advance data management practices.
- Responsible for leading the data collection, cleansing and processing both structured and unstructured raw data.
- Employ machine learning, statistical modeling and use data science tools (e.g. DataRobot) to derive insights from the data.
- Perform descriptive statistics to derive insights from the data. Use data visualization to build a story with insights and present it to Technology and Leadership teams.
- Work closely with the product team and leadership to drive real-time model implementations and new feature creations.
- Establish scalable, effective, automated processes for large data analyses, model development, model validation, and model implementation.
- Responsible or data architectural design, low-level tasks for development, data & model validation, acceptance testing, and production deployment.
- Develop data management standards, policies, controls, governance procedures, and best practices for use within enterprise systems and applications; including design, development, tuning, deployment, and maintenance of information and advanced data analytics and intelligence.
- Deliver an ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization.
- Design and implement metrics and dashboards to identify trends and opportunities and drive key business decisions.
- Derive statistically valid insights from data science models to improve product development, marketing, sales, or business strategies.
- Participate in the planning of solutions and deployment strategies including proof of concepts, pilots, conversions, upgrades, and rollouts.
Job Type: Full-time
Pay: Up to $140,000.00 per year
Schedule:
- Monday to Friday
Application Question(s):
- This position requires Snowflake (Cloud) solution design/implementation experience.
How much Snowflake experience do you have?
Work Location: Remote
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