Job Description:
We are seeking a highly skilled Salesforce Developer with a strong background in Data Science to work on integrating advanced analytics and machine learning solutions into the Salesforce platform. This role requires a deep understanding of Salesforce development tools, data engineering, and data science techniques to analyze, predict, and automate business processes. You will work closely with data scientists, business analysts, and other cross-functional teams to leverage Salesforce data for actionable insights.
Key Responsibilities:
Salesforce Development:
Develop, customize, and maintain applications on the Salesforce platform, including Apex classes, Visualforce pages, Lightning components, and integrations with third-party tools.
Collaborate with the Salesforce Admin team to configure and customize Salesforce CRM solutions.
Manage the deployment and troubleshooting of Salesforce applications in different environments (sandbox, production).
Data Science & Analytics:
Leverage Salesforce data to apply machine learning models, predictive analytics, and data mining techniques to uncover actionable business insights.
Analyze large datasets from Salesforce and external sources to identify trends, patterns, and opportunities.
Build automated processes that improve decision-making and optimize sales, marketing, and customer service workflows.
Develop and deploy predictive models and algorithms to improve lead scoring, customer segmentation, and sales forecasting.
Integration & Automation:
Integrate Salesforce with data warehouses, external databases, and cloud-based data storage solutions for advanced analytics.
Design and implement automated workflows and data pipelines to enable real-time analytics within the.
Required Skills & Qualifications:
Salesforce Development:
Proven experience with Salesforce development, including Apex, Visualforce, and Lightning components.
Hands-on experience with Salesforce APIs (REST/SOAP) and data integration.
Familiarity with Salesforce objects, triggers, workflows, and process builder.
Data Science:
Strong background in data analysis, machine learning, statistical analysis, and predictive modeling.
Proficiency in programming languages for data science (Python, R, etc.).
Experience with data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, etc.).
Knowledge of SQL and experience working with large datasets.
Experience in using BI tools like Tableau, Power BI, or Salesforce's Einstein Analytics for reporting and data visualization.
Additional Skills:
Strong understanding of business processes (sales, marketing, customer service).
Excellent problem-solving skills and ability to think critically about data-related challenges.
Ability to communicate complex data science concepts to non-technical stakeholders.
Experience working with Agile methodologies is a plus.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.