Job Role: Senior Data Scientist
Location: San Diego CA
Visa: H1B EAD
Mode: C2C
Job Details:
As a Senior Data Scientist, you will lead advanced analytics and machine learning initiatives, leveraging your expertise to extract insights and drive strategic decision-making within our organization. This role requires a deep understanding of statistical modeling, machine learning algorithms, and data-driven methodologies.
Job Responsibilities:
Advanced Analytics and Modeling:
- Lead end-to-end data science projects, from problem formulation to model deployment and monitoring.
- Apply statistical techniques and machine learning algorithms to analyze large datasets and derive actionable insights.
- Develop predictive models, clustering algorithms, and optimization strategies to solve complex business problems.
Data Exploration and Preparation:
- Identify, gather, and preprocess data from various sources to ensure quality, completeness, and reliability.
- Perform exploratory data analysis (EDA) to understand patterns, trends, and anomalies in the data.
- Collaborate with data engineers to build robust data pipelines and integrate structured and unstructured data sources.
Model Development and Evaluation:
- Design and implement machine learning models using tools and frameworks such as Python, R, TensorFlow, or PyTorch.
- Evaluate model performance, validate results, and iteratively improve model accuracy and efficiency.
- Implement techniques for feature engineering, selection, and transformation to enhance model predictive power.
Strategic Insights and Visualization:
- Communicate complex analytical findings and insights to stakeholders in clear and compelling visualizations and presentations.
- Collaborate with business leaders to understand requirements and translate them into actionable data science solutions.
- Provide strategic guidance and recommendations based on data-driven analyses to support business decision-making.
Cross-functional Collaboration:
- Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to implement data science solutions.
- Mentor junior data scientists and provide technical leadership and guidance on best practices in data science methodologies.
- Collaborate with IT teams to ensure scalable and efficient deployment of machine learning models into production environments.
Skills Required:
- Expertise in statistical analysis, machine learning, and predictive modeling techniques.
- Proficiency in programming languages such as Python or R, with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, numpy, scikit-learn).
- Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and their application to real-world problems.
- Experience with data visualization tools (e.g., Tableau, Power BI) to present insights and findings effectively.
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their services for data storage, processing, and deployment.
- Ability to work with large-scale datasets, including structured and unstructured data, and apply advanced analytics techniques.
- Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.
Other Requirements:
- Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 5-7 years of experience in a data scientist or similar role, with a proven track record of delivering impactful data-driven solutions.
- Experience leading data science projects and mentoring junior team members.
- Strong analytical mindset and a passion for leveraging data to drive business outcomes.
- Proven ability to thrive in a collaborative, fast-paced environment and manage multiple projects simultaneously.
Additional Information:
- Competitive compensation package, including benefits and potential for performance-based bonuses.
- Opportunities for professional development and career advancement in a growing and innovative company.
- Flexible work arrangements and a supportive work environment that promotes work-life balance.
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