PowerSchool Group LLC Hiring for Data Scientist at Bengaluru, Karnataka Full Time

Overview:
Collaborate with cross-functional teams like Revenue/Expense/consolidation in assimilating requirements and owning end to end data driven projects.

Responsible for developing algorithms based on the business requirements.

Develop and maintain data models and visualizations to support data-driven decision making.

Ensure data accuracy, completeness, and consistency through regular data quality checks and cleansing.

Process a large amount of data and do deep dives to understand certain trends/patterns, carry out correlation analysis to identify causes and relatedness.

Demonstrate high technical appetite and functional experience in building algorithm and logics for the revenue side.

Inform, influence, support, and execute key decisions and launches.

Stay up to date with industry trends and best practices in data analysis and process mining.

Easily understands business problems and translates them into analytical requirements and tasks.

Work through ambiguous client situations to provide a structured approach to resolve client’s business issues.

Responsibilities:
Collecting strategic data and designing, engineering, and documenting complex data sets (ex SFDC, Netsuite and other financial & operational databases)

Using data modelling techniques to bring cohesion to unstructured and semi-structured data.

Using natural language processing (NLP) and computer vision to analyse unstructured and semi-structured data.

Working closely with various teams within FP&A as well as the business functions, to identify problems and devise data-driven solutions to these problems.

Conducting quantitative analysis to obtain insights, developing these into workable solutions, and then following these through to successful delivery (while measuring outcomes).

Training machine learning models using existing data, and prototyping systems to test out new approaches.

Communicating clearly with various parts of the business as to the desired outcomes

Qualifications:
degree or relevant qualification (ideally a Master’s) in math, statistics, computer science, or a related subject with 10-12 years

In-depth expertise and understanding of the finance sector mainly on the revenue side is good to have but not mandatory.

Knowledge of a wide variety of general data science tools, from machine learning algorithms, to deep learning, data analytics, and natural language processing.

Both the theory and practical skills required to create unique statistical models.

Capability in multiple programming languages, primarily Python and R, and possibly others, depending on your focus (e.g. JavaScript, C++).

An understanding of, and ability to work with, unstructured or semi-structured datasets.

Knowledge of key systems used in the finance industry, e.g. SAP, Oracle, etc. would be good to have

EEO Commitment:
PowerSchool is committed to a diverse and inclusive workplace. PowerSchool is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers PowerSchoolers to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you have a disability and need an accommodation regarding our recruiting process, please let us know by emailing accommodations@powerschool.com.

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