Data Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Job Responsibilities: • Content Creation: Create engaging and relevant content for various social media platforms, including but not limited to text, images, videos, infographics, and other multimedia formats. Ensure content adheres to brand guidelines and resonates with the target audience. • Social Media Management: Monitor and manageall company social media accounts, including Facebook, Twitter, Instagram, LinkedIn, Pinterest, and other relevant platforms. Regularly post updates, respond to comments and messages, and engage with the community to foster positive interactions. • Paid Advertising: Implement and oversee social media advertising campaigns, including budget allocation, ad copy creation, targeting, and performance tracking. Optimize campaigns based on data-driven insights to maximize ROI. • Social Media Influencer Collaboration: Identify and build relationships with relevant social media influencers and brand advocates. Collaborate on sponsored content and partnership opportunities to expand brand reach and credibility. • Analytics and Reporting: Monitor social media performance metrics and generate regular reports to track key performance indicators (KPIs), identify trends, and provide actionable insights to improve future campaigns. • Stay Updated on Trends: Stay abreast of social media industry trends, emerging platforms, and best practices. Introduce innovative ideas and technologies to enhance the company's social media presence. • Crisis Management: Actively monitor socialmedia conversations and address any negative comments or issues promptly and professionally. Handle crisis situations with tact and sensitivity, working collaboratively with relevant teams. • Cross-Functional Collaboration: Collaborate with other departments, such as sales, customer support, and creative teams, to align social media efforts with overall business objectives
Responsibilities:-
Requirements:-
Responsibilities
Qualifications