Data Scientist
1 month ago
Job Summary
We are seeking an experienced and highly skilled Senior Data Scientist to join our dynamic team. As a Senior Data Scientist at TechVerito, you will play a key role in driving our data science initiatives and leveraging advanced analytics techniques to solve complex business problems. You will collaborate closely with cross-functional teams to develop and deploy machine learning models, natural language processing (NLP) algorithms, and deep learning solutions across text, audio, and video domains.
Job Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 4+ years of hands-on experience in data science, machine learning, and artificial intelligence.
- Proficiency in programming languages such as Python, R, or Java.
- Strong understanding of machine learning algorithms, techniques, and methodologies.
- Experience with NLP libraries and frameworks such as NLTK, spaCy, or TensorFlow.
- Demonstrated expertise in deep learning techniques and frameworks such as TensorFlow, PyTorch, or Keras.
- Experience working with text, audio, and video data in machine learning applications.
- Solid understanding of data visualization techniques and tools.
- Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
- Hands-on experience in analysis, design, coding, and implementation of complex, custom-built applications.
- Strong communication and client-facing skills with the ability to work in a consulting environment are essential.
Job Responsibilities
- Lead the design, development, and implementation of machine learning models and algorithms to extract insights from large datasets.
- Apply advanced statistical and mathematical techniques to analyze data and solve complex business problems.
- Develop and deploy NLP algorithms to analyze and interpret unstructured text data.
- Utilize deep learning techniques to analyze audio and video data and extract meaningful insights.
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science solutions.
- Stay abreast of the latest developments in machine learning, NLP, deep learning, and AI technologies.
- Mentor junior team members and provide guidance on best practices in data science and analytics.
Perks
- Work-Life Balance
- Skill Development
- Object Bootcamp
- Sabbatical Leave
- Parental Leaves
- Office Perks (Free Meal, Snacks)
- Challenging work
Culture
- Open Culture
- Flat Hierarchy
- 360-degree feedback
- Lot of Freedom
- Nobody reports to no one
- Mentorship Program
- People Supportive
- Competitive & Friendly Environment
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