Data Scientist (San Diego)
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This range is provided by Parametrix. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$130,000.00/yr - $155,000.00/yr
About Parametrix
Parametrix is a 100% employee-owned consulting firm helping clients deliver resilient infrastructure, vibrant and livable communities, and environmentally sustainable solutions. We are a team of professional construction managers, engineers, management consultants, planners, scientists, and surveyors dedicated to delivering outstanding client service. We build lasting partnerships and collaborate with our clients to envision possibilities and create tomorrow, together. We are committed to being a Best Place to Work, offering hybrid work environments that promote meaningful connections, support work-life balance, and encourage career development. With excellent benefits, employee ownership, and a collaborative culture, Parametrix creates a supportive and enriching workplace. About The Role We are looking for a Data Scientist to build and lead our Data and Analytics team. In this role, you will develop innovative, data-driven client solutions and improve internal processes through the strategic use of data. Youll collaborate with engineers, planners, project managers, and clients to understand data needs, design and implement solutions, and deliver actionable insights. As a member of the Information Technology team, youll report to the Director of Information Technology and collaborate closely with technical teams, business leaders, and cross-functional partners across the organization. This hybrid role offers flexibility to work remotely or from any Parametrix office. You Will:- Collect, clean, transform, and securely store data from diverse sources including databases, APIs, files, and surveys.
- Apply advanced machine learning techniques and artificial intelligence to explore, analyze, and derive insights from data
- Design and maintain visually appealing and intuitive dashboards, reports, and presentations to effectively visualize and communicate key data findings.
- Collaborate with internal teams and clients to understand data needs and deliver tailored data-driven solutions.
- Evaluate emerging technologies and methodologies to improve data capabilities and ensure data quality.
- A bachelors or masters degree in Computer Science, Data Science, Information Technology, Statistics, Engineering, or a related fieldor an equivalent combination of education and experience.
- 5+ years of demonstrable experience in data science or analytics.
- Proficiency in Python, SQL, ETL, and other data processing tools.
- Experience with Microsoft Fabric, Power BI, Azure, or similar platforms.
- Familiarity with AI and machine learning concepts; AEC industry experience is a plus.
- Comprehensive Healthcare (medical, dental, vision, short- & long-term disability insurance)
- Employee Stock Ownership Plan (financial profit sharing)
- Performance-based bonuses
- 401(k) Plan
- Paid Time Off (both vacation & sick/wellness time accruals)
- Paid Holidays
- Parental Bonding Leave
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Civil Engineering
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