We are a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world's most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property.
We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise.
We now have more than 8,500 colleagues in over 40 countries worldwide, and we work with over 200 partners to deliver value and success for our customers. Today, We are a publicly traded company, listed on the New York Stock Exchange under the ticker NYSE:CCC.
We are committed to building, nurturing, and developing a diverse culture of belonging where new colleagues can bring their authentic self to work every day! Join us!
As a Associate Data Scientist, you will be responsible to drive the projects to success in terms of excellent Customer Satisfaction, on time deliveries, economical and high-quality deliverables.
Our analytics team will apply predictive analytic techniques on social data, blog data, customer survey data and 3rd party data to build scores, benchmarks and trends that are relevant to our global B2B customers.
Along with our team of data scientists and data analysts, you’ll work with our Customer Experience (CX) Experts for delivering information to support strategic decisions with data-driven insights to develop best-in-class solutions.
You will drive multiple projects from the proposal to the final deliveries. Also, you will manage the performance of the data analysts as well as mentor.
The successful candidates should have:-
Minimum of 0-3 year experience in analytics
Strong background in Predictive Modeling, Machine Learning, Advanced Statistics
Rich experience in one or more of these areas: Text analytics, social media analytics
Project management experience for analytics delivery engagements involving onshore/offshore model
Develop a detailed project plan to monitor and track progress.
Measure project performance using appropriate tools and techniques
Planning & estimation: ability to set and meet the project objectives & milestones
Knowledge to data technologies in ETL, database management is a plus
Knowledge working with large datasets, preferably using tools like Hadoop, MapReduce, Pig, or Hive is a plus
Knowledge in using reporting and dashboard tools like Spotfire, Tableau, SPSS Modeler is a plus
Knowledge in developing prototypes, proof of concepts, algorithms, predictive models
Knowledge in designing and building processes as well as improving existing processes for modeling, data mining, and production purposes.
Communicate results and progress internally and externally in meetings, presentations, and tech talks
Ability to coordinate effectively with team members in engineering, design, and product management
Excellent client-facing and internal communication skills
Masters, Ph.D., or equivalent experience in a quantitative field (computer science, mathematics, statistics, operations research, econometrics, bioinformatics, physics, etc.)
It is the policy of the organisation to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, pregnancy, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, We will provide reasonable accommodations for qualified individuals with disabilities.