Data Scientist

SWCA Environmental Consultants; United States; Remote; USD 79,000 - 105,000; Full time

Job summary

SWCA Environmental Consultants is seeking a passionate Data Scientist to enhance analytics and machine learning within the environmental sector. This full-time role involves collaboration across teams to develop data models and solutions, contributing to sustainability efforts while offering remote work flexibility.

Benefits

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Tuition assistance

Disability insurance

Qualifications

• Bachelor's degree or equivalent in Computer Science, Data Science, or related field.
• Proficiency in Python programming and version control using GitHub.
• Experience with traditional machine learning techniques and deep learning.

Responsibilities

• Collaborate with project teams to leverage data analysis and machine learning.
• Develop and deploy custom data models and algorithms for environmental data sets.
• Assess the effectiveness of new data sources and data gathering techniques.

Skills

Python

Data Analysis

Machine Learning

Statistical Analysis

Problem Solving

Education

Bachelor's degree in Computer Science or Data Science

Master's Degree (preferred)

Tools

GitHub

SQL

Job description

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We are seeking a highly-engaged and passionate Data Scientist to advocate for the benefits of advanced analytics and machine learning within the environmental sector. The ideal candidate is a strategic thinker, highly technical, comfortable in a collaborative team environment, and adept at navigating a constantly evolving landscape. A natural curiosity and commitment to lifelong learning are essential.

Data Scientists at SWCA play a crucial role in implementing machine learning and analytical techniques within SWCA's business lines. This position involves collaborating with technology teams, environmental scientists, and project managers working on internal and external projects. You will focus on deploying production-ready applications and modeling solutions, working closely with various teams to ensure seamless integration and functionality.

This is a full-time, regular, salaried, benefits-eligible role with the flexibility to work remotely within the U.S.

Application deadline: Our team will begin reviewing applications immediately, and interviews will be scheduled with qualified candidates on a rolling basis. The application process will remain open until we have received a robust pool of qualified candidates. Once we have identified suitable individuals, we may close the application process without prior notice. We appreciate the time and effort invested by all applicants.

What You Will Accomplish

• Collaborate with project teams to identify opportunities for leveraging data analysis and machine learning.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop and deploy custom data models and algorithms for environmental data sets, including traditional techniques, deep learning, and large language models.
• Partner with our geospatial services team to integrate analytics into deliverables.
• Work with the application development team to implement enterprise-wide solutions using Python and GitHub.
• Develop processes and tools to monitor and analyze model performance and accuracy.
• Engage with the greater technology team to incorporate data analysis into our technology delivery.
• Seek feedback from stakeholders and peers, communicating proactively across groups.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Collaborate with corporate finance and business teams to build models and analyses that enhance company profitability.

Experience And Qualifications For Success

Qualified candidates will demonstrate an appropriate combination of the following additional competencies and skills:

• Bachelor's degree or equivalent in Computer Science, Data Science, or a related field. A Master's Degree is preferred.
• Proficiency in Python programming and version control using GitHub.
• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience with traditional machine learning techniques, deep learning, and large language models.
• Knowledge of computer vision techniques and approaches applicable to various image capture platforms.
• Understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.) and their applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.

SWCA Environmental Consultants is a growing employee-owned firm, providing a full spectrum of environmental services. Our Vision (the North Star) is to make SWCA the best workplace and industry leader in sustainability, bringing sound science and creative solutions to global environmental challenges while maintaining a dedication to employee-ownership. We live our core values: we collaborate as #OneSWCA; we are #AlwaysLearning, we #NeverSettle, and we #GiveBack.

SWCA Environmental Consultants is a growing employee-owned firm, providing a full spectrum of environmental services. With offices across the United States, SWCA is one of the largest environmental compliance firms and ranks among Engineering News-Record’s Top 200 Environmental Firms.

If you need assistance accessing SWCA’s website, completing the online application, or require accommodations at any point during the hiring process due to a disability, please contact us at [e-mail] or call 1-480-581-5378. We’re committed to providing an inclusive and supportive experience for all candidates. This contact information is specifically for accommodation requests; other inquiries will not receive a response.

SWCA is committed to salary equity and salary transparency for all its employees. In alignment with this commitment, SWCA posts good faith pay ranges on all its advertised job postings to promote pay equity and transparency.

An employee in this corporate based position can expect a pay rate of $79,747/year - $104,457/year. Actual pay within this range may depend on experience, qualifications, geographic location, client requirements where applicable, and other factors permitted by law. Regular-status employees are also eligible for performance bonuses. Candidates are also encouraged to consider SWCA’s Total Rewards package, which includes a competitive Benefits package, forward-thinking workplace flexibility, outstanding corporate culture, award-winning career development, and more.

EOE - women, minorities, individuals with disabilities and veterans are encouraged to apply. At SWCA Environmental Consultants, we celebrate diversity and are committed to creating an inclusive work environment. We strongly encourage candidates from all backgrounds, including those with diverse experiences and veterans, to apply. We believe that a diverse and inclusive workforce enhances creativity, innovation, and overall organizational success.

SWCA continues to invest deeply in career development programs, delivering our award-winning Career Landscape support resources to accelerate the growth of our staff. We recognize the valuable skills and experiences our internal team members bring to SWCA’s continued success. Qualified internal candidates are encouraged to apply and will be seriously considered for this position. We believe in promoting from within, where possible, providing our existing employees with compelling opportunities to advance their careers.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting and Information Technology

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Tuition assistance

Disability insurance

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