![Synaptic](https://media.trabajo.org/img/noimg.jpg)
Data Science Researcher
7 days ago
The role offers a challenging and exciting opportunity to be a part of a fast-growing industry and do a wide variety of cutting-edge work in data science.
Key Responsibilities:
- Develop innovative data science solutions for natural language processing, image processing, and anomaly detection
- Conduct research and explore cuttingedge data science products and methodologies in the relevant fields
- Working with product and design teams to gather requirements and feedback
- Coordinating with the development team for the deployment of data science solutions
- Documentation and presentation of data solutions to internal stakeholders and clients
Requirements:
- M.Tech/M.S./MSc./PhD in Computer Science, Mathematics, Statistics, or a related field from a toptier institution
- Minimum of 3 years experience in data science, machine learning, and programming
- Proven research experience in academia or industry
- Deep understanding of AI/ML concepts, particularly in NLP and image processing
- Uptodate knowledge of the latest models, tools, and methodologies in these areas
- Expertise in Python, objectoriented programming, and machinelearning libraries
- Excellent written and verbal communication skills
- Strong problemsolving and quantitative abilities
- Ability to thrive in a fastpaced, pressuredriven environment
Experience: 3+ years
About Synaptic
Synaptic is a Gurgaon and San Francisco-based startup that is bringing the power of alternative data to the world of investing.
Our new-age investment support platform analyses billions of data points to help investors make better decisions. We build tools, processes, and algorithms to power investors with cutting-edge proprietary insights. Traditional investment research is becoming more data-intensive and we are at the forefront of this change.We count some of the best funds as customers and some of the sharpest minds in Silicon Valley like Ribbit Capital, Felicis, and Vy Capital as investors.
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