Data Science Product Manager
Trantor Software, India

Buck started its operations in Chandigarh in association with Trantor in 2019. Buck is growing exponentially in India amp; 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 https://buck.com/ or LinkedIn page https://www.linkedin.com/company/buckglobal/

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 amp; Gurgaon - and employs over 600 professionals.

Requirements

This role covers strategic analysis, strong business knowledge, and an ability to define and drive a technology roadmap. The successful candidate will have extensive awareness of hub portal product features and functionality in the market and determine how our technology can stay ahead of competition with periodic releases.

This product manager will own, plan, and manage a roadmap of product enhancements short and long term. The product manager will also work closely with Buck’s bEquipped leader, Buck’s Digital Suite product strategy leader, IT product leader, offshore teams and Business representatives to build/test/deploy product releases on time and in budget. This individual will also provide the financials and develop business cases to the product releases and oversee the development of deployment kits to facilitate the releases to our entire client base.

The individual will partner with Business leaders in some client communications and will be evaluated on relationship building skills both internally within Buck as well as externally with clients, partners, vendors, contractors, etc. Work may include the delivery and productization of ad-hoc analysis of raw data, high level model development, research into emerging analytics trends, presentation development, as well as technology research.

Duties amp; Responsibilities

• Ongoing product and process development to improve and streamline Buck’s analytics services to not only deliver a superior service to our clients, but also to improve our efficiency and profitability.
• Mentoring/managing bEquipped team members team members.
• Partnering with the Global bEquipped Strategy Leader to educate clients on the value of adding analytics to their business, capturing amp; 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 area.
• Bachelor's degree in Mathematics, Statistics, Business Analysis or related
• Significant experience as an Analyst / Data Scientist
• Extensive experience with statistical modelling techniques
• Managerial and leadership experience
• Experience in HR/benefits engagement technology
• Advanced knowledge of R, Python or SAS for model development
• Previous experience with web analytics tools such as Sisense, Qlik, Tableau and Google Analytics
• Experience connecting Sisense or other visualization systems and using for dashboarding or analysis
• Experience building machine learning and AI models
• Experience with ETL tool
• Self-motivated and ability to work independently in meeting deadlines
• Exceptional written and verbal communication sk

Job Rewards and Benefits