Job Location: Bangalore/Bengaluru
We are looking for a highly motivated individual, passionate about machine learning and AI, who enjoy working with high-end technologies to join our Team. As the Data Scientist, you will focus on developing impactful and innovative machine learning-based solutions, partnering with business stakeholders across the globe.
Responsibilities
- You will partner with our business stakeholders across to identify opportunities to drive business solutions.
- Partner with leaders from across the business to translate the companys business objectives, market opportunities portfolio of offerings into a formal, cohesive global commercial strategy
- Apply a broad array of analytics skills including machine learning, statistics, text-mining/NLP, and modelling to extract insights from structured and unstructured data sources and complementary real-world digital information streams to business challenges
- Developing and evolving core commercial models used across all analytics packages. Examples of the models will be: Multi-Channel Analytics, Patient Pathways, Omni-Channel Segmentation, Territory Design, Customer Targeting, Attribution Modelling, Predictive Commercial Mix
- Design data test and learn experiments to drive personalized solutions across the customer journeys addressing key customer needs as well as enabling personalized experiences across each touchpoint through connective analytics
- Collaborate across the business to prototype, launch and Iterate analytics capabilities that quickly scale globally
- Lead the development and implementation measurement planning aligning to strategy
- Lead the collaboration with local and global teams to ensure data-driven decisions are embedded into the business process.
- Automate analytics models and simplify information management
- Consult with markets, regions, and leadership on defining the business questions to apply to be answered with analytic and then pulled through for measured value.
- You will perform data mining and analyzing given data to optimize and improve operation and business strategies.
- You will assess data sources and data gathering techniques for effectiveness and accuracy.
- You will develop custom data models and algorithms to apply to the given data sets.
- You will apply predictive modelling to increase and optimize business outcomes.
- You will develop a testing framework such as A/B and test the quality of the framework.
- You will implement data models and monitor the outcomes of the models implemented.
- You will develop processes and tools for models to monitor and analyse the performance and accuracy of the models developed.
- You will gather and analyse data, devise innovative data science solutions and build prototypes to enable the development of high-performance algorithms in scalable, product-ready code.
- You will contribute to the application development.
- You will upskill and mentor team members on the data science tools and technologies.
Qualifications
- Total 2+ years of experience in data science.
- Expert in using data mining/data analysis methods, building and implementing models, using/creating algorithms and creating/running simulations.
- Experience in using large data sets and using models to test the effectiveness of different courses of action.
- Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
- Experience in creating data architectures.
- Experience with languages like Python, SQL, Java, JavaScript, etc.
- Experience with Cloud Architecture like AWS, Azure etc.
- Experience in creating algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
- Experience in visualizing presenting data using the tools like Business Objects, D3, ggplot, etc.
- Knowledge of techniques like clustering, decision tree learning, artificial neural networks, etc.
- Have strong problem-solving skills, excellent written and verbal communication skills.
- Applied digital marketing, sales, or customer analytics
- Experience in healthcare, pharmaceutical, or consulting
- Self-starter who is comfortable working independently and focused on delivering value quickly
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