Chennai
About the Role:
We are building a complex data product that aims to revolutionize industry intelligence by applying sophisticated machine learning & AI algorithms on millions of data points. We are looking for a Data Scientist to build new product features using cutting-edge methods and algorithms. If you love playing with data and math, have an eye for detail, and a strong product/design mindset, we’d love to hear from you.
This position requires deep hands-on experience with data science (AI/ML/stat.) algorithms, including the ability to understand business requirements, define analytical/data science requirements, develop and test data science methods/algorithms, and proficiency in programming to deploy algorithms as part of a technology product. This data scientist will be a part of the Data Science and Analytics team working under the general direction of the Chief Data Scientist.
Key Responsibilities:
- Collaborate with business and product team in conceptualizing, designing, and managing data-driven projects as business/product roadmap
- Works to design, develop and validate data science (analytical/ data mining/ML/AI) models to meet the product requirements
- Gather, evaluate and document requirements, and conceptualize analytical solutions to business problems
- Ability to deploy analytical algorithms as part of a larger product/ business application
- Ability to effectively visualize data and communicate results of data analysis & analytical models
- Develop processes and tools for data cleansing, transformation and other data preparation as required for the algorithms
- Collaborate with data and tech teams to ensure adherence to data ingestion and data governance standards
- Conduct root cause analysis for model/product feature inaccuracies and propose improved approach/algorithms
Competencies Required:
- 4 or more years of experience in a core data science role
- Good experience in data discovery, data exploration, and algorithm development
- Hands-on experience of machine learning and data mining algorithms such as decision trees, classifiers, clustering, and regression
- Strong experience with working on large data sets and developing scalable algorithms
- Knowledge and experience of working with unstructured data, primarily text, is a big plus
- Strong mathematical, analytical, and problem-solving skills
- Excellent business understanding, experience with retail/CPG/eCommerce is a plus
- Excellent presentation and communication skills
- Analytical technologies
- Strong skills in Python and its common data science toolkits/libraries
- Experience with AI and ML libraries in cloud environments (such as AWS, Google Cloud, Azure)
- Experience with Deep Learning algorithms is a plus
- Good skills in SQL and other query languages, and working with large data sets in databases such as PostgresDB, MySql
- Experience with big data technologies and distributed computing platforms a plus
Desired:
- Degree in a quantitative field (Engg., Math, Statistics, Economics, Physics)
- Ability to work with business and technology teams to build and deploy an analytical solution as per needs
- Ability to multi-task, solve problems and think strategically
- Strong communication and collaboration skills
What’s in it for you:
- Goal-driven, apolitical and aligned organization with great opportunities to learn from peers and founders
- Access to learning, training sessions outside of your immediate line of work
- Remote-friendly leave policies
- Access to group kindle account with latest titles
- Read about our founding principles and values. We mean them. Above all perks, these are what will make PipeCandy a great place for you to work
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