Analyst II, Data Science
Job Summary
Job Description
Dun & Bradstreet is looking for a Senior Analyst to support the Data Science team. The role involves working closely with teams in India and globally to deliver analytics solutions. Key responsibilities include implementing, testing, validating, documenting, monitoring, and reporting on analytical solutions. The analyst will extract large datasets from various sources using tools like Python/Pyspark/Hadoop/SQL, create data pipelines, perform model scoring, and validate model results. Experience with MLOps frameworks for deploying and monitoring ML models in real-time is crucial, along with collaboration with Data Supply, ML Engineers, and Technology teams.
Must have:
- 2-4 years experience in Data Analytics/Data Science
- Strong Python, Pyspark, SQL programming
- Knowledge of Python packages
- Statistical/Machine Learning techniques
- Data pipeline building
- Interpreting data for business insights
- Excellent communication skills
Good to have:
- Optimize data architectures
- Real-time ML model monitoring
7 skills required
Job Details
Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.
Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates for the role of Senior Analyst to support the Data Science team. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis.
Key Responsibilities:
- Work across range of Analytical Solutions that includes Implementation, Testing, Validation, Documentation, Monitoring, and Reporting.
- Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple analysis.
- Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables.
- Work on MLOps frameworks to deploy, monitor and validate ML models in real time.
- Work with multiple teams such as Data Supply, ML Engineers, Technology to implement analytical solutions and models.
Key Skills:
- 2 to 4 years of relevant experience in Data Analytics / Data Science roles.
- Strong programming skill in tools such as Pyspark, Python, SQL to manipulate data and create deployable production code.
- Knowledge of Python packages and tools.
- Sound Knowledge and exposure to application of Statistical / Machine Learning Techniques.
- Experience in building and optimizing data pipelines, architectures and data sets.
- Ability to interpret and translate data into meaningful business insights.
- Excellent verbal, written communication and presentation skills.
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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