Confidential (via Talento HR)
Bengaluru · Hybrid · Full-time · 4-7 years experience
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We are seeking an experienced and dynamic Data Science Consultant to join our esteemed team. The ideal candidate will liaise with clients to present insights and recommendations that are both strategic and tactical. This role requires a keen ability to transform data into actionable insights, excellent communication skills, and the ability to narrate compelling data stories. The candidate should be very well-versed and have hands-on experience with data science capabilities, both theoretically and technically
Qualification: Bachelor’s degree in a related field (e.g., Business, Economics, Statistics, Computer Science).
Qualifications
• Hands-on Experience of 4 to 7 years in a data science or related role with hands-on experience with data analysis, model development, and deployment.
• Excellent Proficiency in Python, R, SQL, and other relevant languages.
• Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
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• Adept in presentation and communication skills.
Key Responsibilities
• Model Development: Building and refining predictive models using machine learning algorithms.
• Data Cleaning and Preprocessing: Ensuring data quality by cleaning and preprocessing raw data.
• Collaboration: Working closely with cross-functional teams, including engineers, product managers, and business analysts, to understand requirements and deliver data-driven solutions.
• Reporting and Visualization: Creating reports and visualizations to communicate findings to stakeholders.
• Communication: Present findings and recommendations to CS and/or clients in a clear, concise, and impactful manner.
• Insights and Recommendation: Provide strategic and tactical recommendations to clients based on data insights.
• Research and Innovation: Staying updated with the latest industry trends and technologies to improve existing models and processes.
• Mentorship: Guiding junior data scientists and providing technical support.
Key Qualities
• Analytical Thinking: Ability to break down complex problems and analyze data to find solutions.
• Technical Proficiency: Strong skills in programming languages like Python or R, and familiarity with machine learning frameworks.
• Attention to Detail: Precision in data analysis and model development to ensure accuracy.
• Communication Skills: Ability to clearly convey technical information to non-technical stakeholders.
• Curiosity and Innovation: A drive to explore new techniques and technologies to improve data processes.
• Problem-Solving: Aptitude for identifying issues and developing effective solutions.
• Team Collaboration: Working well with others and contributing to team goals.
• Adaptability: Flexibility to handle changing project requirements and new challenges.