Data Scientist

At Civi Tronix, we believe that data-driven decision-making is at the heart of innovation in the engineering industry. As a Data Scientist, you will have the opportunity to make a direct impact on our projects, processes, and client outcomes by leveraging the power of data. You'll be working in a dynamic, collaborative environment that encourages continuous learning and professional development.

Note:
Strictly for candidates with the Unites States only.

The Data Scientist will be responsible for analyzing large sets of structured and unstructured data to uncover actionable insights, support decision-making, and solve complex problems across a variety of engineering and infrastructure domains. You will leverage advanced statistical, mathematical, and machine learning models to derive insights that enhance project outcomes, improve efficiencies, and contribute to the long-term success of Civi Tronixs operations.

As a Data Scientist at Civi Tronix, you will work closely with engineering, project management, and business teams to identify opportunities for data-driven improvements. This role offers an exciting opportunity to be at the forefront of applying data science to optimize engineering solutions, predict system behaviors, and support strategic business decisions.

• Data Collection & Preparation:
  • Collect, clean, and preprocess data from various internal and external sources, including engineering reports, sensors, geospatial data, environmental data, and more.
  • Develop and maintain data pipelines that ensure efficient data storage, retrieval, and processing for analysis.
  • Collaborate with teams across the organization to identify relevant data sources and ensure data quality and integrity.
• Advanced Data Analysis & Modeling:
  • Apply advanced statistical methods and machine learning algorithms to analyze complex datasets and generate insights that drive business value.
  • Develop predictive models and algorithms for engineering applications such as project forecasting, resource allocation, risk management, and performance optimization.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets, providing actionable insights to stakeholders.
• Collaboration with Engineering Teams:
  • Work closely with engineering teams to understand their data needs, translate business problems into data science solutions, and identify opportunities for data-driven process improvements.
  • Support engineering teams by providing data-driven recommendations and insights for decision-making, performance optimization, and risk mitigation.
• Create compelling visualizations and dashboards to communicate complex data insights to both technical and non-technical stakeholders.
• Use tools like Tableau, Power BI, or custom-built solutions to present results in a clear and actionable manner.
• Prepare reports that summarize findings, recommendations, and impact, and present them to senior leadership, project managers, and clients.
• Design, build, and deploy machine learning models that automate decision-making processes or improve operational efficiencies across projects and teams.
• Evaluate and fine-tune models over time to ensure they provide the best possible predictions and insights.
• Work with software engineers and developers to deploy models into production environments and ensure their scalability and performance.
• Predictive & Prescriptive Analytics:
  • Build predictive models to forecast key metrics and outcomes, such as project costs, timelines, resource needs, and environmental impact.
  • Develop prescriptive analytics tools to recommend optimal courses of action based on data-driven insights, improving project delivery and client satisfaction.
• Data Governance & Compliance:
  • Ensure that all data science work is conducted in compliance with company policies, industry regulations, and data privacy laws.
  • Collaborate with the IT and compliance teams to ensure that data is stored securely and adheres to governance standards.
• Stay up to date with the latest developments in data science, machine learning, and artificial intelligence to apply cutting-edge techniques to solve business challenges.
• Continuously evaluate new tools, technologies, and methodologies to improve data analysis capabilities and efficiencies.
• Collaborate with various teams, including project management, marketing, and finance, to provide insights and support strategic initiatives.
• Work with business analysts to translate business requirements into data-driven solutions and reports.

• Education:
  • Masters or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Experience:
  • 3+ years of experience in data science, data analysis, or a similar analytical role, ideally within engineering, infrastructure, or technical services.
  • Hands-on experience with machine learning algorithms, statistical modeling, and data analysis techniques.
  • Experience working with large datasets and implementing data processing…