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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Developer - **Company:** CareerCircle - **Location:** Virginia Beach, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $260,000.0 - **Contract:** Temporary contract - **Skills:** A/B Testing, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Decision Support Systems, R (Programming Language), Monitoring of Systems, Statistical Hypothesis Testing, Iterative and Incremental Development, Python (Programming Language), Machine Learning, Regression Analysis, Natural Language Processing, Power BI, Standard Sql, Salesforce.Com, Software Engineering, SQL Databases, Tableau (Software), Autodesk Mechanical Desktop, Microsoft Power Automate, Snowflake, Deep Learning, Model Validation, Uipath, Data Analytics, Machine Learning Operations, Data Pipelines, Databricks - **Published:** August 25, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/va/virginia-beach/4546cbc7-2c06-4e72-94a3-90f25e70ca38 ## About the Role * 5+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, Quantitative Research, Data Engineering, or related fields. * Strong proficiency in Python and/or SQL for data analysis, modeling, and workflow development. * Hands-on experience developing, evaluating, or deploying analytical and machine learning models. * Solid understanding of core machine learning concepts and statistical methodologies. * Ability to explain complex technical concepts clearly to both technical and non-technical audiences. * Strong written communication skills for documentation and analytical reporting. * Comfort working independently in a fully remote environment. * Availability for approximately 30-40+ hours per week throughout the engagement. Additional Skills & Qualifications: * Experience with deep learning techniques and frameworks. * Background in Natural Language Processing (NLP) applications and methodologies. * Data Engineering experience, including building and maintaining data pipelines and analytical workflows. * Hands-on experience with A/B testing, experimentation design, and causal inference approaches. * Forecasting and time series analysis experience for predictive modeling. * Data visualization skills and familiarity with business intelligence concepts and tools. * Experience with model validation, performance evaluation, and ongoing model monitoring. * Quantitative research experience, including rigorous analytical design and interpretation. * Experience as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to strategic technology initiatives. * Ability to align analytical and intelligent systems with real-world applications and business objectives., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description Visionary Consulting Innovation Scalability Forecasting A/B Testing Data Science Communication Data Analysis Deep Learning Data Pipelines Causal Inference Machine Learning Model Validation Data Engineering Performance Review Advanced Analytics Workflow Management Intelligent Systems Software Engineering Statistical Modeling Research Experiences Quantitative Research Business Intelligence Stakeholder Management Artificial Intelligence Decision Support Systems SQL (Programming Language) Engineering Design Process Python (Programming Language) Natural Language Processing (NLP) Time Series Analysis And Forecasting, This project-based consulting role invites an experienced Data Scientist/Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to evaluate complex machine learning scenarios and real-world business use cases. You will develop and validate models, review analytical workflows, and provide expert guidance to ensure solutions are technically sound, scalable, and aligned with practical applications, all within a fully remote and flexible engagement., * Evaluate complex analytical and machine learning scenarios for technical accuracy, scalability, and business relevance. * Develop, validate, and refine statistical models, predictive analyses, and data-driven solutions that address real-world business problems. * Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows. * Design realistic business and analytics use cases based on professional experience and industry best practices. * Assess modeling approaches, underlying assumptions, and analytical methodologies to ensure robustness and reliability. * Create clear, structured documentation and explanations for complex statistical and machine learning concepts. * Identify opportunities to improve analytical processes, outputs, and decision-support frameworks across projects. * Collaborate within structured project guidelines while managing tasks independently and proactively. * Maintain consistent quality, accuracy, and productivity throughout the engagement. * Provide expert insights on machine learning, deep learning, NLP, experimentation, forecasting, and model validation to support next-generation analytical and intelligent systems. * Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders., * This is a fully remote, project-based consulting engagement that offers a flexible schedule and is best suited for professionals available 30-40+ hours per week. * You will work independently within structured project guidelines, focusing on challenging, real-world analytical problems without the distractions of production support, extensive stakeholder management, or corporate bureaucracy. * The environment emphasizes autonomy, meaningful technical challenges, and the opportunity to contribute to innovative AI-focused initiatives while enjoying the flexibility and focus that consulting work provides., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. 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