Data Governance Architect jobs in United States
info-icon
This job has closed.
company-logo

Scalence L.L.C. · 1 day ago

Data Governance Architect

Scalence L.L.C. is seeking a talented professional to drive data governance initiatives and contribute to cutting-edge projects. The role involves designing predictive models and collaborating with cross-functional teams to deliver impactful data solutions.

Information Technology & Services
badNo H1Bnote

Responsibilities

Design and implement predictive models and machine learning algorithms to solve business problems
Perform feature selection using techniques such as PCA, Lasso, and Elastic Net
Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM
Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib
Communicate insights through compelling data storytelling for diverse stakeholders
Collaborate with cross-functional teams to integrate data solutions into business processes

Qualification

PythonSQLR programmingCloud platformsMachine learningStatistical modelingAdvanced analyticsNLPDeep learning frameworksData visualizationProblem-solvingCommunication skills

Required

Applicants must be able to work directly for Artech on W2
Proficiency in Python, SQL, and R programming languages
Strong knowledge of cloud platforms (AWS, Azure) and big data ecosystems (Hadoop)
Expertise in machine learning techniques and statistical modeling
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field

Preferred

Experience with advanced analytics and big data tools
Familiarity with NLP, deep learning frameworks, and modern visualization libraries
Strong problem-solving and communication skills

Benefits

Inclusive and diverse work environment
Opportunities for professional growth and development
Comprehensive health and wellness benefits

Company

Scalence L.L.C.

twitter
company-logo
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.

Funding

Current Stage
Late Stage
Company data provided by crunchbase