About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 45 years in the USA. Data Axle has set up a strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA.
Roles & Responsibilities:
We are looking for a Senior Data Scientist to join the Core Data Science team as we build the next chapter in our profitable company. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful data products that serve a wide range of data customers. This team is the central engine of a company that is obsessed with data quality, accuracy, and availability.
- Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture.
- Create, build, and release new capabilities for user interaction with data assets using modern APIs and frameworks.
- Deliver accessible and responsive code of high quality (automated build/test/deploy): CI/CD experience preferred but not required.
- Visualize and publish analytical results and insights to internal and external audiences.
- Work as an integral part of an agile team.
- Ability to adapt to changing requirements while managing expectations with a variety of internal and external stakeholders
- Be exemplars of data-driven culture at a rapidly evolving company.
- Ph.D or Masters in a quantitative/applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering, Physics).
- 5+ years of real-world Machine Learning Productiondevelopment and deployment experience required. This is not an entry-level role. We require experience in deploying ML models in production.
- Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (Statistics, Probability, ML Theory + Best Practices, NLP, Feature Engineering, Supervised and Unsupervised ML, A/B Testing, etc.).
- Proficiency in Python and SQL required.
- Preliminary knowledge of Spark, web services, and RESTful APIs.
- Familiarity with SAS is valued but not required.
- Familiarity with master data management principles highly valued.
- Experience in cloud infrastructure (AWS, GCP, Snowflake…).
- Familiarity with modern CI/CD methods preferred but not required.
- Proven ability to work within a team to deliver impactful solutions from the ground up.
- Proven ability to communicate successfully with others remotely.
- Bonus points for a well-curated GitHub/GitLab personal repo with projects to highlight your DS / ML work.
This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.
Top Skills
What We Do
For nearly 50 years Data Axle has been providing solutions leveraging a comprehensive real-time data engine that is built on principles of integrity and accuracy. Our unrivalled data is constructed with a proprietary blend of artificial intelligence and human verification. Our world-class products and services empower our partners and clients to acquire, understand, and retain customers with continuous performance improvement.
As we continue to grow and scale, we are expanding our global team with the opening of a major office in Pune, India – our 19th office in our 5th country.
DISCLAIMER :
Data Axle India follows a merit-based employee recruitment practice with extensive screening steps. Data Axle India does not charge/accept any amount or security deposit from job seekers during the recruitment process. Job Seekers are requested to be aware of unsolicited or fraudulent communication regarding a job offer or an interview call against payment of money, please stay alert. All Data Axle jobs are published on the Careers page of its website and/or on its LinkedIn profile. Interested job seekers may access the same and apply directly.
If you believe you have been a victim of recruitment fraud, you are requested to approach law enforcement agencies immediately.
