Dear Candidates,

Please find below details for Data Scientist position for Pune Location.

Data Scientist who is passionate about data and wants to apply machine learning techniques to solve problems for our customers. This person is expected to be proficient in the exploration and understanding of structured and unstructured data, machine learning techniques, statistical modeling methods, predictive analytics, anomaly detection, and supervised and unsupervised learning. The successful candidate will work with stakeholders to leverage data to solve critical business problems in the Benefits Administration domain.

The Data Scientist will work on all aspects of the design, development, and delivery of machine learning-enabled solutions including problem definition, data acquisition, data exploration, feature engineering, experimenting with various ML algorithms, evaluating metrics, deploying models and iteratively improving the total solution.

Budget - 12 lacs to 15 lacs

Duties & Responsibilities

Formulate a meaningful hypothesis that is relevant to the business objectives.

• Design and train models for use in production environments.
• Mine structured and unstructured data for patterns.
• Utilize data from databases, Web scraping, public datasets, historians, and/or data lakes.
• Rigorously build, analyze, and compare machine learning or statistical models; there is a strong emphasis on programming using the most popular machine learning languages such as Python, R, Microsoft R, TensorFlow, Encog, etc.
• Work with application developers to develop data-analytics products that are deployed to end-users as part of packaged solutions.
• Visualize and report findings of deployed data analytics solutions to provide insights to the organization and our customers.
• Deploy machine learning model and integrate model predictions in business
• Setup infrastructure for machine learning, model deployment including commissioning or ML-Servers and Server Configuration
• Deploy CI/CD framework to frequently deliver code/features to production

Qualifications

Experience & Education

Required

M.S. or higher in Mathematics, Statistics, or Computer Science with significant experience in data analytics and Model Building.

Preferred

7+ years experience is preferred.

Knowledge, Skills, & Ability

Required

• Expertise in predictive modeling, machine learning and statistics.
• Software development skills in one or more high level languages (Python/Java/R/Scala).
• Experience using one or more of the following common ML software packages: scikit-learn, TensorFlow, NumPy, pandas, jupyter.
• Well-versed in machine learning algorithms and their suitability for solving various problems: Regression, Bayesian, Support Vector Machines, Decision Trees, Random Forest, Clustering, Neural Networks.
• Experience in using SQL/No SQL databases is an advantage
• Experience working in Windows/Linux is an advantage
• Experience with Big Data technologies is an advantage (Hadoop, Hive, Spark, Cassandra).
• Experience with building and deploying data pipelines
• Good critical thinking, technical, data collection and user interviewing skills.
• Ability to work as a team member in a fast-paced environment.
• Experience With Agile Software Development Processes Is Preferred.
• Experience with Cloud service offerings from AWS, Azure or GCP is a plus.

Preferred:

Knowledge of DataOps.

Knowledge of data versioning tools such as git, DVC

Knowledge of ML environments such as MLflow, databricks

Knowledge of ML deployment tools such as Kubeflow, Kubernetes.

Software Engineers (having 7 years and more experience) with exposure to business applications preferably in Pension, Payroll, Accounting, Insurance and Banking domains who enjoy working in Cutting edge technologies on Microsoft platform. The individual must have strong working knowledge of DotNET, SQL, jQuery JavaScript HTML and XML, along with good OOPS concepts and C# language.

Software Engineers (having 7 years and more experience) with exposure to business applications preferably in Pension, Payroll, Accounting, Insurance and Banking domains who enjoy working in Cutting edge technologies on Microsoft platform. The individual must have strong working knowledge of DotNET, SQL, jQuery JavaScript HTML and XML, along with good OOPS concepts and C# language.