Data Scientist I/II

Job Title

Job Responsibilities

• Use predictive modeling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes
• Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled.
• Selecting features, building and optimizing classifiers using machine learning and deep learning techniques
• Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing the reporting environment, including data sources security, and metadata.
  

Job Qualifications:

• Master’s degree or PhD in Computer Science, Information management, Statistics or related field, with 5 to 7 years of experience in the Consumer or Healthcare industry manipulating data sets and building predictive models with focus on product development
• Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc.
• Strong hands on knowledge of ML techniques like regression algorithms, K-NN, Naïve Bayes, SVM and ensemble techniques like Random forest, AdaBoost etc
• Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning
• Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns, trends and outliners.
• Deep knowledge and practical experience with data science toolkits, such as NumPy, Pandas, scikit-learn or equivalent
• Experience with data visualization tools, such as QlikView, Matplotlib, seaborn or equivalent tools.
• Proficiency in using query languages, such as SQL, PL/SQL
• Hands on experience in the one or more databases like Hadoop, AWS Redshift, Snowflake etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good ETL scripting and programming skills, such as Python, R or Scala to integrate developed solution into the proposition.
• A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines
• A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization.
• A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science
  

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