Data Scientist (ai) Job in Knoldus Inc

Job Description

Primary/Essential Duties and Key Responsibilities:

The Data Scientist will develop machine learning and natural language processing models to provide insights and recommendations to the business to improve internal operations, to understand customers, to provide smarter products and services, to create additional revenue, and to drive decision making.

Specific duties of this position include the following:

• Work closely with business units on data, metrics and analytics to deliver actionable insights that lead to high quality business decisions.
• Drive continuous improvement in the company s use and management of data through measurement and monitoring.
• Wrangle and integrate data from various data sources using sound software engineering practices.
• Work with multiple teams and departments to gain access to and understanding of the data.
• Build and operationalize predictive and prescriptive models for a variety of internal stakeholders using both structured and unstructured data sources.
• Apply mathematics and statistics principles to develop novel algorithms, models, performance measures, and simulations.
• Read and implement algorithms from research papers and journal for solving business problems
• Tell stories with analytics and insights, adapting level of detail to the proper audience.
• Explain complex data science techniques to data analysts and non-technical users.

Required Qualifications:

This position requires a Bachelor s OR Master s degree (or an equivalent degree) in Data Science, Computer Science or a closely related field and 3 years of experience as a Data Scientist or as a Software Engineer.

Experience must include at least 1 year of experience with the following:

• Formulating data science solutions to real-world business problems and using data science, advanced research methodology and analytics to drive increased revenue and decreased costs;
• Working with Machine Learning (including Machine Learning models using strong reproducible research principles) and Reinforcement Learning algorithms and techniques;
• Working with either Computer Vision/Convolution Neural Networks or Natural Language Processing/Recurrent Neural Networks and techniques;
• Building data pipelines using mathematical and statistical principles to feed Machine Learning/Natural Language Processing models;
• Deploying Machine Learning models to production in a cloud based environment (either GCP or AWS) using Docker containers, Microservice architecture and cross programming platform APIs tools;
• Working with:

(i) common visualization tools including either Tableau, PowerBI, seaborn or plotly;

(ii) data science programming languages including either Python, R or Java; and

(iii) machine learning frameworks including scikit-learn, scipy, pandas, TensorFlow or Keras.

(iv)knowledge on Google BigQuery and Datalakesis a big advantage.

About Company

Knoldus engineers digital systems with a product mindset to deliver an objective competitive advantage to the business. We modernize enterprises through cutting-edge digital engineering by leveraging Functional Programming (Scala, Rust, Java) and Fast Data (Spark, Flink) ecosystems.

Our mission is to provide reactive and streaming fast data solutions that are message-driven, elastic, resilient, and responsive to build High-Performance Systems. Knoldus is fortified by an expansive network of certified strategic partners like Lightbend (Scala ecosystem), IBM, Datastax(Cassandra and Graph ecosystem) , Confluent(Kafka ecosystem), and Databricks(Spark in the Big Data space); helps enterprise clients including many Fortune 500 companies to create the next-generation capabilities that set them apart and create new opportunities. With a team of 175+ seasoned experts,

Knoldus is headquartered in Canada with delivery centers in Chicago, New Delhi, Noida, and Singapore Some of our marquee clients include Google, HPE, EY, Elsevier, BoA, Cisco, VMWare, Huawei, Philips and quite a few silicon valley startups which have gone from being 2 people companies to 50 million dollars + companies Our process focus: Strongly Agile. Knoldus software development model called Knolway is based upon the best Agile practices built on the combination of Scrum and XP where concepts such as Domain Driven Design, Continuous Integration, Test Driven Development, and Pair Programming are used extensively.