This is Pankaj from 4P Consulting. Please see below job description.

Please share your resume if you're interested and have 5-10 years of experience. Submission on W2 basis only, NO C2C.

Job Title: Data Scientist

Responsibilities:

• Leverage data to uncover insights, create predictive models, and drive data-driven decision-making.
• Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights.
• Use statistical techniques to uncover meaningful information from data.
• Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes.
• Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries.
• Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations.
• Feature Engineering: Engineer and select relevant features for machine learning models, enhancing their predictive power.
• Algorithm Development: Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks.
• Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses.
• Model Deployment: Deploy machine learning models in production environments to support real-time decision-making.
• A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements.
• Data Ethics: Ensure ethical data practices, including privacy and compliance with data protection regulations.
• Cross-functional Collaboration: Collaborate with cross-functional teams to understand business requirements and align data science initiatives with organizational goals.
• Mentorship: Provide guidance and mentorship to junior data scientists and analysts.
• Continuous Learning: Stay updated on the latest data science tools, techniques, and trends.

Qualifications:

• Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Master's or Ph.D. is a plus.
• 5 to 10 years of experience in data science, including machine learning and statistical analysis.
• Proficiency in data analysis tools and programming languages such as Python, R, or Julia.
• Strong knowledge of machine learning algorithms and their applications.
• Experience with data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).
• Solid understanding of databases and data manipulation using SQL.
• Excellent problem-solving and critical thinking skills.
• Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders.
• Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark).
• Knowledge of data ethics, privacy, and compliance considerations.

Thanks and Regards,

Sr. Talent Acquisition Specialist

Pankaj Mishra

+1 205-756-4834