Data Science Lead

About USDM USDM Life Sciences is a premier consulting company with 20+ years of experience assisting heavily regulated biotech, medical device, and pharmaceutical companies with their GxP technologies to accelerate growth. Our deep domain knowledge and technology expertise in life sciences business processes are what set us apart. From strategy to implementation and adoption, we have delivered thousands of GxP projects globally. As part of the USDM team, you have the opportunity to work with cutting-edge technologies through our many partnerships with companies like Microsoft, Google, Oracle, DocuSign, Box, and many more. From molecule to market, you will help connect technology, people, and data in new ways to generate real-time insights to improve business outcomes for USDM’s clients. Are you ready to make an impact and drive real digital transformation in life sciences? Founded in Santa Barbara in 1999, USDM has grown to a progressive, global company with 300+ remote employees and offices throughout the US, Canada, and Germany. Nature and Scope of Job The Data Science Lead is responsible for performing complex data research and analysis to support business operations. This role creates data mining architectures, statistical reporting, and data analysis methodologies to identify trends in large data sets and inform business decisions. The position manages a department or small unit, including multiple teams, and communicates with executive leadership to influence business practices and approaches. Primary Responsibilities • Create data mining architectures, models, and protocols to identify trends in large data sets. • Develop statistical reporting and data analysis methodologies. • Apply knowledge of existing and emerging data science principles to inform business decisions. • Conduct scientific research projects to advance data analytics. • Influence others to accept practices and approaches; communicate with executive leadership. • Set objectives, delegate tasks, and ensure operational success. • Shape company policies, tackle complex problems, and meet budgets and schedules. • Manage projects, influence organizational goals, maintain frequent communication with peers and customers, and lead teams and projects as a best practice/quality resource. Additional Responsibilities • Performs other related duties and assignments as required Qualifications • Independently applies innovation to highly complex situations; capable of making improvement recommendations and guiding others in creative ideation. • Competent in using Industry Tools for data analysis and visualization. • Applies business intelligence tools and concepts with minimal guidance. • Implements artificial intelligence solutions in routine and some complex situations. • Creates effective data visualizations and delivers persuasive presentations; mentors others in presentation skills. • Fully independent in influencing others and coaching on influencing skills. • Utilizes Power BI to create and manage reports and dashboards. • Executes data warehousing tasks and applies economic theories with minimal guidance. • Applies advanced decision-making and forecasting methods; mentors others in these processes. Education & Certifications • Bachelor’s degree in Computer Science or Information Systems or related field. • Master’s Degree preferred Working Conditions The working conditions described here are representative of those that must be met by an employee to successfully perform the essential responsibilities and functions of the job and are not meant to be all-inclusive. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential responsibilities and functions of the job. Unless reasonable accommodations can be made, while performing this job the staff member shall: • Prolonged periods of sitting or standing at a desk and working on a computer in an environmentally controlled home office environment. • Operate other office productivity machinery, such as a calculator, scanner, or printer. • Frequently communicate with stakeholders via telephone, email, or instant message. Must be able to exchange accurate information in these situations. Equal Opportunity Statement USDM Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Disclaimer This job description is intended to describe the general nature and the level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. USDM Life Sciences reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Compensation Salary/Hourly Rate Range (W2): USD 80.00 - 105.00 The base salary/hourly rate range represents the anticipated low and high end of the USDM’s compensation range for this position. Actual salaries/hourly rates will vary and will be based on various factors, such as the candidate’s qualifications, skills, competencies, and proficiency for the role. The compensation described above is subject to change and could be higher or lower than the range described based on market survey data or budget. Full-time employees are eligible for health, vision, and dental insurance, life insurance, short and long-term disability, hospital indemnity, accident, and critical care coverage. Both full and part-time employees, who are at least 21 years of age, are eligible to participate in USDM's 401k plan. Full and part-time employees may be eligible for paid time off. All employees are eligible for USDM's rewards and recognition program. For more details about our benefits, visit us here: https://usdm.com/careers