Data Scientist 1

“We are seeking an experienced, high caliber Data Scientist, I for our Sylmar, CA .

Responsible for ensuring the requirements for Device/Combination Products through the execution of Abbott standard operating procedure and Product Lifecycle Management.
 

WHAT YOU’LL DO

• Particularly skilled in quantitative analysis and data management

• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information

• Able to examine and interpret relevant data to quickly develop an analysis plan that will answer key business questions and create value for the organization.

• Understanding of machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization

• Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to site and executive management.

• Ability to work with cross-functional teams to devise test methodologies to ensure validity of the data models being presented.

• Work closely with the business to understand the domain and iteratively refine analyses

• Identifies opportunities to improve the efficiency and effectiveness of the systems and process being examined (process improvement/reengineering projects).

• Identify and implement continuous improvement opportunities throughout the data lifecycle.

• Act as Subject Matter Expert in cross functional team meetings as well as internal and external audits.

• Ensure compliance with associated regulations, standards, and site procedures.

• May demonstrate basic project management skills by acting as a project lead on small, well defined project. Influence exerted at peer level and occasionally at first levels of management.

Qualifications

Bachelors Degree (± 16 years) Engineering, Life Sciences, or Physical Sciences OR an equivalent combination of education and work experience

Experience:

• Minimum 1 year

• 1-2 years experience in pacing industry. Quality experience desired. Must have demonstrated written and verbal communication, interpersonal, presentation, analytical, organizational skills, and the ability to meet deadlines.

• Must be able to work effectively with engineers, technical specialists, vendors, and customers to achieve assigned goals; must be capable of coordinating multiple assignments simultaneously and effectively.

• Must possess demonstrated personal computer skills (experience with Microsoft Office or equivalent required) in graphics, word-processing, databases, authoring programs, etc., to develop presentation materials.

• Experience working in a broader enterprise/cross-division business unit model preferred.

• Ability to work in a highly matrixed and geographically diverse business environment.

• Ability to work within a team and as an individual contributor in a fast-paced, changing environment.

• Ability to leverage and/or engage others to accomplish projects. Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization.

• Multitasks, prioritizes and meets deadlines in timely manner. Strong organizational and follow-up skills, as well as attention to detail.

• Ability to travel.

• 0-2 years of experience in Quality Assurance, Technical Quality, or equivalent; Some knowledge in the areas of Design Controls, VV activities, manufacturing practices or processes, and statistical techniques. Drive to learn applicable regulations and standards such as FDA, QSR and ISO regulations. Demonstrated written, oral and interpersonal skills. Strong analytical skills, problem solving techniques and statistical application experience.

Preferred Qualifications:

• Bachelors Degree focused in Data Analytics, Data Science or similar discipline including Engineering, Mathematics, Computer science, Statistics or Physics preferred

• 1-2 years’ of related work experience with a good understanding of specified functional area.

• Experience working in life sciences or healthcare industry preferred.

• Working experience with database applications including programming experience (e.g. SQL, Python, R, Java, Scala, C++ in Linux/Unix and/or equivalent).

• Experience implementing process improvements and efficiencies.

• Strong excel skills.

• Excellent verbal and written communications skills to explain data analysis findings.

• Self-starter who can plan their own work to meet deadlines.

• Strong interpersonal skills, be self-motivated, have a strong desire to learn, and be adaptable to a fast paced, ever-changing environment.