Senior Data Scientist

2 weeks ago

India Recro Full time

Mandate Skills

RAG, Gen AI, NLP, Deep Learning, Langchain, python, SQL

Responsibilities

We collaborate closely with business stakeholders and cross-functional subject matter experts to deeply understand the business context and key business questions.

We develop and guide Proof of concepts (POCs) / Minimum Viable Products (MVPs) through production deployment and operationalization of projects.

We drive machine learning strategy for Digital programs and projects.

We provide solution recommendations that effectively balance speed to market and analytical soundness.

We explore design options to assess efficiency and impact; we develop approaches to improve robustness and rigor.

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

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

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

We create algorithms to extract information from large, multiparametric data sets.

We deploy algorithms to production to identify actionable insights from large databases.

We compare results from various methodologies and recommend optimal techniques.

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

We develop and embed automated processes for predictive model validation, deployment, and implementation.

We work on multiple pillars of AI including cognitive engineering, conversational bots, and data science.

We ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.

We lead discussions at peer review and use interpersonal skills to positively influence decision making.

We provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; we make impactful contributions to internal discussions on emerging practices.

We facilitate cross-geography sharing of new ideas, learnings, and best-practices.

Required Qualifications

A Bachelor of Science or Bachelor of Engineering degree is required.

At least 4 years of experience as a Data Scientist is required.

A combination of business focus, strong analytical and problem-solving skills, and programming knowledge is required 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) are required.

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

Experience producing high-quality code, tests, documentation is required.

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

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

Proficiency in statistical concepts and ML algorithms is required.

Good knowledge of Agile principles and process is required.

The ability to lead, manage, build, and deliver customer business results through data scientists or professional services team is required.

The ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results is required.

Self-motivation and proactive problem solving skills are required to work independently and in teams.

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