Scientist Jobs

About The Position

Requirements

• 2+ years of experience in data analysis.
• 1+ years of programming experience.
• Significant experience working with large, complex data sets and common data science tools.
• Experience working with database Python.
• Experience designing, building, deploying, and validating machine-learning predictive models, ideally within a business framework.
• Experience training multi model design to structure and train for unstructured data matching.
• Experience training LLM models for specialized use cases.
• Highly inquisitive and self-motivated.
• Ability to map out solutions with a starting point and end goal, but with few steps identified in-between.
• Exceptional ability to analyze and synthesize data.
• Advanced proficiency in SQL and Python.
• Competency navigating and working within the AWS cloud suite.
• Competency designing self-learning models that result in logarithm trends to identify trends in data to predict potential outcomes or missing data fields.
• Core understanding of statistical concepts and methods.
• Competency in the MS Office Suite.
• Highly accountable and inquisitive, able to manage multiple tasks in a fast-paced, dynamic environment.
• Self-motivated.
• Excellent communication skills (written, verbal, and interpersonal) to coordinate across teams and deliver polished presentations.
• Experience with training NumPy and Pandas models.

Responsibilities

• Conduct advanced analyses and statistical deep dives, with a focus on producing actionable recommendations and strategic guidance for decision makers.
• Develop and deploy custom models and algorithms using data and machine learning libraries to solve complex business problems.
• Mine, clean, process, transform and join data from a variety of sources including SQL servers, AWS environments, SnowFlake, SalesForce, internal systems, and flat files.
• Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources.
• Build rich, interactive dashboards and visualizations from the ground up using PowerBI.
• Compile and present key findings and reports to all levels of the organization, including senior leadership.
• Continuously seek out opportunities to add value through process automation and programmatic solutions to manual tasks and monitor and improve Data Science model performance.
• Act as a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies. (Stay up to date with industry trends and best practices.
• Problem-solve, generate new ideas, and provide creative solutions.
• Mentor, model, act as a resource, and provide guidance for more junior analysts and team members.
• Lead development, testing and implementation of machine-learning models and algorithms using data and machine learning to solve complex business problems.

Benefits

• medical
• dental
• vision
• HSA and FSA
• generous earned time off
• 401K/student loan repayment
• life insurance & AD&D insurance
• employee assistance program
• employee stock purchase program
• tuition reimbursement
• performance-based incentive pay
• short- and long-term disability
• a robust wellness program