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Data Scientist

3 months ago

Pune, Maharashtra, India MindTickle Full time

About Us


Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world's most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.


Job Brief

  • At Mindtickle, we're working on the cutting edge of decoding what drives revenue success. We've got some of the smartest minds in the domain working tirelessly to demystify revenue execution and providing Revenue Leaders with decisionimpacting signals which have a tangible impact on a revenue organization's efficiency. We are looking for a Data Scientist to turbocharge the mission. If you have a knack for pattern/trend recognition, a zeal for dabbling in advanced technology, and a 'get it done' attitude, we'd love to hear from you. We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing endtoend artificial intelligencebased solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.

Credibility

  • You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science. You have the ability to directly connect business problems to research problems along with the latest emerging technologies.

Strategic Responsibility:

  • To perform the following: understanding problem statements, connecting the dots between highlevel business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics, or the internet of things, etc.
  • To be responsible for endtoend productionlevel coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization, and finetuning of models on the cloud, desktop, mobile, or edge, etc.
  • To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development, etc.
  • To share knowledge, mentor colleagues, partners, and customers take sessions on artificial intelligence topics both online or inperson, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator, or jury member, etc.
  • To collaborate within the product streams and team to bring best practices and leverage worldclass tech stack.
  • To set up every essential (tracking / alerting) to make sure the infrastructure/software built is working as expected.
  • To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.

Personality:

  • Requires excellent communication skills written, verbal, and presentation.
  • You should be a team player.
  • You should be positive towards problemsolving and have a very structured thought process to solve problems.
  • You should be agile enough to learn new technology if needed.

Qualifications:

  • B Tech / BS / BE / M Tech / MS / ME in CS or equivalent.
  • Deep expertise and practical knowledge of operating systems, MySQL, and NoSQL databases.
  • Good understanding of Machine Learning Algorithms, Linear Algebra, and Statistics.
  • Working knowledge of Amazon Web Services(AWS).
  • Experience with Docker and Kubernetes will be a plus.
  • Experience with Natural Language Processing, Recommendation Systems, or Search Engines.
  • Strong background in one or more of the following fields: deep learning, machine learning, natural language processing, computer vision, etc.
  • Experience in data mining, business intelligence tools (e.g. PowerBI, Tableau), and data frameworks (e.g. Hadoop).

Responsibilities:

  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Leverage advanced tech to analyze large amounts of information to discover trends and patterns.
  • Build predictive models and machinelearning algorithms.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.
  • Define standards for the analysis of customerfocused problems in an industrial setting.
  • Guide team members and the leadership team on accurate, efficient, and innovative NLP/ML solutions.

Our Culture
As an organization, it's our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.

But what we enjoy the most about working here is probably the work itself and our