Segment : S&P Global Market Intelligence
The Role : Lead Data Scientist
Grade (relevant for internal applicants only) : 11A
The Location : Gurgaon / Hyderabad / Remote Worker
The Team :
MI Data Science team is responsible for enhancing core capabilities of S&P Market Intelligence via data science solutions.
The team works closely with other business units providing powerful insights using differentiated capabilities like Entity recognition, Document linking, New Logo Predictions, Climate analytics, Quantitative analysis, Knowledge Graphs etc.
The Impact : This is an IC role which would assist the team in developing analytical solutions to business problems
What’s in it for you : Candidate will work closely with highly impactful team (US Patent holders and Ivy League Professors) who has diverse range of experiences.
He / she will collaborate with ML Engineers, Data Engineers, Visualization experts and other data scientists. He / she will get opportunities to publish technical papers and present at paramount international conferences.
Primary responsibilities are
sourcing data with help of data engineers,
develop analytical solutions that impact directly to S&P goals / vision and
communicating results to stakeholders.
What We’re Looking For :
Basic Qualifications :
6+ years’ industry experience ( or 3+ years with a post-graduate degree in a quantitative discipline such as applied mathematics, computer science, statistics etc.
in a data science, advanced analytics or machine learning team.
A Bachelor’s Degree in Computer Science, Mathematical or Statistical sciences or related quantitative disciplines is required.
Proficiency in one of the following programming languages : R, Python.
Proficiency in applied machine learning, optimization, statistical and probabilistic modeling techniques in relevant problem areas
Strong theoretical understanding of statistical techniques, machine learning algorithms and their mathematical underpinnings.
Experience with the Python Data stack and machine learning frameworks (e.g. Numpy, Pandas, Dask, scikit-learn, mlr, caret, H2O, TensorFlow, PyTorch ,MLlib) is required.
Strong understanding and experience of Deep Learning / Deep Reinforcement Learning / AI concepts and exposure of taking ML models into production.
Strong interpersonal and communication skills and ability to communicate with cross-functional stakeholders.
Ability to interpret and explain model predictions and insights to varied audiences.
Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact.
Preferred Qualifications :
Experience with Pyspark, Databricks, AWS and ML Ops.
Demonstrable experience in exploratory data analysis (Jupyter, D3), distributed data frameworks (Hadoop, Spark, Hive, etc.
code review and version control tools like Git.
Examples of relevant domain expertise : predictive modeling, customer journey modeling, computational advertising, demand forecasting, recommender systems, cohort analysis and insights generation, graph / text mining
About S&P Global Market Intelligence
At S&P Global Market Intelligence, we know that not all information is important some of it is vital. Accurate, deep and insightful.
We integrate financial and industry data, research and news into tools that help track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuation and assess credit risk.
Investment professionals, government agencies, corporations and universities globally can gain the intelligence essential to making business and financial decisions with conviction.
S&P Global Market Intelligence is a division of S&P Global (NYSE : SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence.
For more information, visit www.spglobal.com / marketintelligence.
S&P Global has a Securities Disclosure and Trading Policy ( the Policy ) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading.
The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings.
Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest.
Employment at S&P Global is contingent upon compliance with the Policy.
EOE Statement :
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race / ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
Only electronic job submissions will be considered for employment.