Job Description
MavenMagnet is an AI-based data analytics company transforming insights generation by delivering in-depth analysis and discovery with significant time and cost efficiency as compared to traditional alternatives.
We use thousands of digitally-sourced data points - news, blogs, forums, communities, chat rooms, product reviews, social networks, POS, product sales & support, and proprietary client datasets - to provide our clients a seamless strategic perspective by delivering qualitative insights on a quantitative scale, while eliminating respondent bias and research fatigue.
A rich combination of AI and machine learning technology and strategic human expertise helps us deliver actionable insights in near real-time.
We are looking for a creative Data Scientist to join our team! An extremely important role for our success.
As a member of the development team, your responsibilities will include transfer learning and training ML models. Ideal candidates will have a strong data science background and can help us build in-house ML models.
You'll have the opportunity to work with large-scale data sets and turn your insights into real products. You'll be an integral part in how we understand user behavior, identify and recommend product opportunities, which are all critical to how we can scale our ever-growing user base.
Responsibilities:
• Modifies and analyzes complex data sets using analytics techniques such as machine learning, statistical analysis, Natural Language Processing, identifing modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables.
• Investigates data characteristics, complexity, quality, and meaning. Through visualizations and summarizations, defines performance, identifies trends, outliers, and drivers.
• Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data.
• Build ML Model for NLP, multi-labeling, image detection, emotion detection, etc.
Required Skills:
• 3-5 years of industry experience in data science developing ML Models for NLP.
• Experience of building NLP Models for Topic Modeling, Multi-labeling data science solutions.
• Experience in relevant programming languages (e.g. Python)
• Experience within the Python Data Science ecosystem - NumPy, SciPy, Jupyter, etc.
• Experience in fine-tuning and tranining ML models
• Experience in AWS cloud. Developing and deploying applications in the cloud.
• MS in Data Science
• Past experience with startups and a fast-paced environment is an added advantage.
Provide a link to a Github that showcases your work.
Preferred Requirements:
• MS in Data Science from IIT/NIT
• Experience building deep neural networks to production.
• Experience in AWS, Google cloud, Azure.
• Experience with large volume data processing systems.
• Experience with Agile software development.
• Good knowledge of Database technologies such as SQL, PL/SQL and relational database schema design.
Here’s what we’ll set you up with:
• A team that is invested in your career growth and training
• Competitive salary and equity, based on experience
• Best-in-class health insurance, including dental and vision coverage.
• Work alongside world-class talent
• Flexible vacation / paid time off policy
• Personal style encouraged
We celebrate diversity and are committed to creating an inclusive environment for all employees.
We use thousands of digitally-sourced data points - news, blogs, forums, communities, chat rooms, product reviews, social networks, POS, product sales & support, and proprietary client datasets - to provide our clients a seamless strategic perspective by delivering qualitative insights on a quantitative scale, while eliminating respondent bias and research fatigue.
A rich combination of AI and machine learning technology and strategic human expertise helps us deliver actionable insights in near real-time.
We are looking for a creative Data Scientist to join our team! An extremely important role for our success.
As a member of the development team, your responsibilities will include transfer learning and training ML models. Ideal candidates will have a strong data science background and can help us build in-house ML models.
You'll have the opportunity to work with large-scale data sets and turn your insights into real products. You'll be an integral part in how we understand user behavior, identify and recommend product opportunities, which are all critical to how we can scale our ever-growing user base.
Responsibilities:
• Modifies and analyzes complex data sets using analytics techniques such as machine learning, statistical analysis, Natural Language Processing, identifing modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables.
• Investigates data characteristics, complexity, quality, and meaning. Through visualizations and summarizations, defines performance, identifies trends, outliers, and drivers.
• Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data.
• Build ML Model for NLP, multi-labeling, image detection, emotion detection, etc.
Required Skills:
• 3-5 years of industry experience in data science developing ML Models for NLP.
• Experience of building NLP Models for Topic Modeling, Multi-labeling data science solutions.
• Experience in relevant programming languages (e.g. Python)
• Experience within the Python Data Science ecosystem - NumPy, SciPy, Jupyter, etc.
• Experience in fine-tuning and tranining ML models
• Experience in AWS cloud. Developing and deploying applications in the cloud.
• MS in Data Science
• Past experience with startups and a fast-paced environment is an added advantage.
Provide a link to a Github that showcases your work.
Preferred Requirements:
• MS in Data Science from IIT/NIT
• Experience building deep neural networks to production.
• Experience in AWS, Google cloud, Azure.
• Experience with large volume data processing systems.
• Experience with Agile software development.
• Good knowledge of Database technologies such as SQL, PL/SQL and relational database schema design.
Here’s what we’ll set you up with:
• A team that is invested in your career growth and training
• Competitive salary and equity, based on experience
• Best-in-class health insurance, including dental and vision coverage.
• Work alongside world-class talent
• Flexible vacation / paid time off policy
• Personal style encouraged
We celebrate diversity and are committed to creating an inclusive environment for all employees.
💡 Quick Summary
Seeking a career-building opportunity? The Sr. Data Scientist position is now open for candidates interested in the Database Administrator sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Database Administrator is a plus.