Data Scientist - R/Python/Tensorflow (4-12 yrs)

Responsibilities :

- Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions

- Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects

- Influence machine learning strategy for Digital programs and projects

- Make solution recommendations that appropriately balance speed to market and analytical soundness

- Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor

- Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow)

- Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.

- Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.

- Create algorithms to extract information from large, multiparametric data sets.

- Deploy algorithms to production to identify actionable insights from large databases.

- Compare results from various methodologies and recommend optimal techniques.

- Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.

- Develop and embed automated processes for predictive model validation, deployment, and implementation

- Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science

- Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment

- Lead discussions at peer review and use interpersonal skills to positively influence decision making

- Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices

- Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications :

- Bachelor of Science or Bachelor of Engineering at a minimum.

- 4+ years of work experience as a Data Scientist

- A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project

- Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)

- Good hands-on skills in both feature engineering and hyperparameter optimization

- Experience producing high-quality code, tests, documentation

- Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks

- Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

- Proficiency in statistical concepts and ML algorithms

- Good knowledge of Agile principles and process

- Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team

- Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results

- Self-motivated and a proactive problem solver who can work independently and in teams