Data Scientist

Tasked with partnering with numerous technical teams to collaborate, test hypotheses, build proof of concepts, and turn data into insights and information for accelerating Digital First Approach. Data modeling, forecasting, optimization, and possesses a strong vision of how data science and engineering can create value for our customers and the company. Familiar with the ALDM (AmDocs Logical Data Model) Schema, expert using Snowflake, Identifies the Impacted data Elements, Collects Data from the Source, builds a data pipeline, Java and Python Development Work with the Software Engineers to Deploy the Models Performs exploratory data analysis on provided dataset, Performs Feature Engineering and Feature Selection, Data Preparation, Treatment, Normalization, Train, Validate, Evaluate and Tune Models. Python, R (Data Scientist) Java (Software Engineers) Ability to understand data formats and data structure SQL knowledge/NoSQL knowledge Able to problem solve using the proper statistical methods to solve various business needs. Strong analytic skills related to working with structured and unstructured datasets. Understanding of Machine Learning Processes. Design, develop, implement, and continuously improve various production models. Good Visualization skills to present the data output and readouts to leadership and partner teams.

Tableau Power BI Google Analytics MySQL MongoDB Hadoop Python, R, RStudio Jira Snowflake Springboot Gitlab Azure ML Studio Apache Spark Jupyter Notebook Anaconda Eclipse IDE

Tasked with partnering with numerous technical teams to collaborate, test hypotheses, build proof of concepts, and turn data into insights and information for accelerating Digital First Approach. Data modeling, forecasting, optimization, and possesses a strong vision of how data science and engineering can create value for our customers and the company. Familiar with the ALDM (AmDocs Logical Data Model) Schema, expert using Snowflake, Identifies the Impacted data Elements, Collects Data from the Source, builds a data pipeline, Java and Python Development Work with the Software Engineers to Deploy the Models Performs exploratory data analysis on provided dataset, Performs Feature Engineering and Feature Selection, Data Preparation, Treatment, Normalization, Train, Validate, Evaluate and Tune Models. Python, R (Data Scientist) Java (Software Engineers) Ability to understand data formats and data structure SQL knowledge/NoSQL knowledge Able to problem solve using the proper statistical methods to solve various business needs. Strong analytic skills related to working with structured and unstructured datasets. Understanding of Machine Learning Processes. Design, develop, implement, and continuously improve various production models. Good Visualization skills to present the data output and readouts to leadership and partner teams.

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!