Job Role: Senior Data Scientist Location: San Diego CA Visa: H1B EAD Mode: C2C

 

Senior Data Scientist

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:

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

Connect: https://www.linkedin.com/in/dreakansh-extrahiring/