Strong Analytics

Strong Analytics

30 Total Employees
Year Founded: 2015

Benefits at Strong Analytics

Strong provides a comprehensive benefits package and a flexible, rewarding work environment.

Financial + Retirement

401(K)

401(K) matching

Acme Co. provides employees with a 401(k) matching plan managed by [provider]. We match %4 of contributions up to %100 of an employee's annual gross pay.

Employee stock purchase plan

Performance bonus

Health Insurance + Wellness

Dental insurance

Health insurance

Life insurance

Vision insurance

Diversity

Diversity manifesto

Documented equal pay policy

Mean gender pay gap below 10%

Hiring practices that promote diversity

Culture

Flexible work schedule

Open door policy

Pair programming

Remote work program

Team based strategic planning

Quarterly engagement surveys

Child Care + Parental Leave

Generous parental leave

Restricted work hours

Return-to-work program post parental leave

Vacation + Time Off

Generous PTO

Paid holidays

Paid sick days

Unlimited vacation policy

Flexible time off

Office Perks

Company-sponsored happy hours

Onsite gym

Professional Development

Job training & conferences

Mentorship program

Paid industry certifications

Promote from within

Lunch and learns

Continuing education available during work hours

Search the 3 jobs at Strong Analytics

Agency • Artificial Intelligence • Big Data • Machine Learning • Software • Analytics • Consulting
Lead Machine Learning Scientist position at Strong Analytics. Collaboratively design and develop machine-learning based solutions for clients. Lead project teams, work directly with clients, and bring state-of-the-art solutions to clients' problems.
Agency • Artificial Intelligence • Big Data • Machine Learning • Software • Analytics • Consulting
Seeking Software and Data Engineers to develop machine-learning based applications
Agency • Artificial Intelligence • Big Data • Machine Learning • Software • Analytics • Consulting
Seeking Machine Learning Scientists with proficiency in Python and/or R, SQL, and experience in developing and implementing ML solutions. Responsibilities include building data analysis pipelines, training and validating machine learning models, and collaborating on research.