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Manages successful client delivery own the analytics consulting and deliverables for large Tier 1 clients or a portfolio of smaller clients.
Responsibilities: -
- Working with business stakeholders to define and ideate data science-based solutions to existing business problems
- Processing, cleansing, and verifying the integrity of data to be used for analysis
- Creation, validation and maintenance of ML/DL models based on business requirements
- Recommend enhancements to current data collection procedures to include information that is relevant for building analytic systems
Skills and Qualifications: -
- Excellent understanding of basic statistics, machine learning techniques and algorithms, and their application to business problems such recommendation systems, customer purchase propensity models, etc.
- Demonstrated experience in working with a diverse team showcasing excellent communication skills to articulate and understand business problems
- Experience with common data science toolkits, such as AzureML, AWS Sagemaker, Python, R etc.
- Proficiency in using query languages such as SQL, Hive, Pig etc.
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase.
- Experience with Adobe Analytics suite is a plus
- Working Knowledge of Power Bi/Tableau
Experience: -
- Graduate degree in Engineering/Statistics/Economics
- 3+ years of experience, working as a Data Scientist.
- Prior experience with Marketing Analytics with specific focus on Market Mix models is a plus
- Prior experience with simulation models – Monte Carlo, Agent based simulations is a plus
Top Skills
What We Do
An independent, global marketing technology and services firm, Ansira believes in transparent partnerships to meet clients where they are on their customer experience journey. Ansira designs relevant, persuasive experiences for all the right moments; strengthening relationships, cultivating brand loyalists, and assuring profitable client growth. Teams operating across the US, Europe, South Asia, and Oceania, arm brands and their channel sales ecosystems with digital offerings, channel partner marketing technology and services, and local marketing technology to make these experiences possible.
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