Data Scientist Job - Karkidi

Data Scientist

Mindtickle
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Job Description

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.

With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.

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 decision-impacting 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 end-to-end artificial intelligence-based 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 high-level 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 end-to-end production-level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization, and fine-tuning 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 in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator, or jury member, etc.
  • To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
  • To collaborate within the product streams and team to bring best practices and leverage world-class 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 problem-solving 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.
  • 5-8 years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
  • 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 machine-learning 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 customer-focused 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.

Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.

Company Info.

Mindtickle

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.

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Mindtickle is currently hiring Data Scientist Jobs in Pune, Maharashtra, India with average base salary of ₹100,000 - ₹250,000 / Month.

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