Data Scientist

Summary

Join NewRocket, a global ServiceNow partner, as a Data Scientist with 4+ years of experience. Leverage your expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets. Collaborate with cross-functional teams, develop predictive models, and contribute to data-driven decision-making. You will collect, clean, and preprocess data, design and implement machine learning models, perform EDA, build predictive models, and communicate findings effectively. The role requires proficiency in Python or R, machine learning frameworks, statistical analysis, and SQL. NewRocket offers a diverse and inclusive workplace.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• 4+ years of professional experience as a Data Scientist or in a similar role
• Proficiency in programming languages such as Python or R for data analysis and modeling
• Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in statistical analysis, hypothesis testing, and experimental design
• Hands-on experience with SQL for querying and manipulating large datasets
• Ability to work in a collaborative environment and adapt to new AI technologies
• Excellent problem-solving skills and the ability to work independently or in a team
• Strong communication skills to present complex findings in a clear and concise manner

Responsibilities

• Collect, clean, and preprocess large datasets from diverse sources to ensure data quality and integrity
• Design, develop, and implement machine learning models and algorithms to address business challenges
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
• Build and validate predictive and prescriptive models using statistical techniques and tools
• Collaborate with stakeholders to translate business requirements into data-driven solutions
• Create visualizations and dashboards to communicate findings effectively to technical and non-technical audiences
• Optimize and fine-tune existing models to improve accuracy, performance, and scalability
• Stay current with industry trends, emerging tools, and advancements in data science and AI
• Document methodologies, processes, and results for reproducibility and knowledge sharing

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data processing and model deployment
• Background in natural language processing (NLP), computer vision, or time-series analysis
• Understanding of software development practices (e.g., version control with Git, CI/CD pipelines)