Data Science Product Manager Job in Trantor Software Pvt Ltd

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Description

About us:

Buck is starting its operations in Chandigarh, India in association with Trantor. Buck is growing exponentially in India & is on a lookout for dynamic people to join its team.

Buck is an integrated HR and benefits consulting, administration, and technology services provider. Industry leading companies look to Buck to deliver technical solutions. Our client portfolio includes software, hardware, aerospace, healthcare, and telecommunications providers. We deliver a wide variety of solutions for our clients using the latest frameworks and business integration technologies that leverage mobile, analytics, AI, and Machine Learning. We need enthusiastic and talented pioneers to help deliver ground-breaking technology solutions to the most forward-thinking companies in the world. Are you ready for the challenge? Join us today! Visit our website or LinkedIn page

Trantor Inc. is a leading global software services provider that specializes in business intelligence, software security, and web services solutions. We have a proven track record of successful multi-shore projects delivery.Founded in 2009, Trantor is headquartered in Menlo Park, CA and has two global delivery centers in India - Chandigarh & Gurgaon - and employs over 600 professionals.

Additional information:-

We offer you a chance to join a highly motivated unit in a fast-growing and dynamic company, and challenging tasks and opportunities for your future career. Find out more at Follow Trantor on LinkedIn

Heres what you will Do:

Ongoing product and process development to improve and streamline Bucks analytics services to not only deliver a superior service to our clients, but also to improve our efficiency and profitability.

Mentoring/managing Data Science team members.

Partnering with the Global Analytics Strategy Leader to educate clients on the value of adding Data Science analytics products to their business, capturing & defining needs and solutions

Synthesizing business needs and creating business/functional design documents which can be used to build analysis and data models.

Assessing data for validity in terms of predictive capabilities, required feature engineering, opportunities for data widening, or alignment to business requirements.

Developing, implementing, and supporting methodologies, standards, and tools for analysis and data science work.

Building cooperative, productive relationships with clients and vendors by utilizing excellent communication skills, while also interacting effectively internally and externally.

Researching, prototyping, and exploring future, non-standard analytics approaches that push the limits of current analysis output. This will include exploring novel machine learning techniques which enable our teams to tackle segmentation, clustering, and predictive models used in a wide variety of areas.

Requirements

10+ years' experience as an Analyst / Data Scientist

3+ years of managerial and leadership experience

Advanced knowledge of R, Python or SAS for model development

Previous experience with web analytics tools such as Sisense, Qlik, Tableau and Google Analytics

Extensive experience with statistical modelling techniques

Experience connecting Si sense or other visualization systems and using for dash boarding or analysis

Self-motivated and ability to work independently in meeting deadlines

Exceptional written and verbal communication skills and is comfortable working with remote teams

Previous experience with marketing analytics including database marketing techniques, campaign lift, attribution and media mix modelling

Familiarity with analyzing data for digital marketing and ecommerce, as well as all other non-digital aspects of a business

Experience working with population health data, financial data, engagement data, and/or talent data

SQL skills

A solid knowledge of ETL tools

Understanding of how to deal with larger data sets and parallel computing problems