Yash Technologies - Lead Data Scientist - R/Python (10-20 yrs)

What you should have?

- Bachelor's degree in physics, Mathematics, Engineering, Metallurgy or Computer Science.

- MSc in relevant field Physics, Mathematics, Engineering, Computer Science, Chemistry or Metallurgy.

- 8+ years of experience in Data science and Analytics delivery

- Deep knowledge of machine learning, statistics, optimization and related fields

- Hands on and deep expertise with R, Python programming.

- Machine learning skills : Experience with Natural Language Processing (NLP), Text mining, Text processing

- Deep learning skills : Understanding of deep learning techniques and experience with deep learning frameworks like TensorFlow, keras, Theano, Pytorch etc.

- Experience working with large data sets (Knowledge on getting data from cloud, Hadoop ecosystem)

- Data Visualization - Experience in one or more Data Visualization tools (MS Power BI, Tableau etc.)

- Data engineering - Hands-on in SQL and experienced in working with RDBMS for data extraction and data read/write.

- Understanding of Data Warehouse fundamentals (architectural layers & schema types) is a plus.

- Experience productionizing Machine Learning models, in the cloud (Azure, GCP or AWS preferred)

- Domain Experience in manufacturing industry, preferred.

- Demonstrated ability to nurture and lead technical talent.

- Track record of leading and successfully completing complex data science projects.

- Excellent with written and verbal communication and attitude to thrive in a fun, fast-paced startup-like environment.

- An attention to detail with self-discipline and a drive for results

- Demonstrated ability to work in ambiguous situations.

- Good at conceptualization and execution of projects

- Strong business acumen to connect technology and business.

- Good Time Management skills - ability to prioritize tasks and projects.

- Proactive approach to problem resolution, suggesting alternate solutions.

- Be able to work under tight deadlines & pressure without compromising on quality.

- Good communication and Strong Interpersonal Skills

- Worked in distributed/cross-functional teams.

- Positive attitude and a team player

Key Responsibilities :

As an AI Expert with minimum 10 years of experience, you will play a critical role in our organization by serving as a technical expert and solving technical blockers faced by our development teams. Your primary responsibility will be to provide guidance and expertise in the development and implementation of AI solutions. You will work closely with cross-functional teams to ensure successful integration of AI technologies into our products and services. Additionally, your role will involve actively participating in Agile methodologies, with a focus on Scaled Agile and PI planning.

- Guide internal and external developers and helps to remove technical dependencies and impediments during the product development.

- Support Product Owner from a technical perspective Support in technical planning of the product Define enablers for the product backlog Consult AI Architect for questions regarding technical requirements

- Contribute to the self-organizing spirit of agile delivery teams and work in a full agile process (taking part in necessary ceremonies, etc.)

- Provide technical expertise and guidance to development teams in the implementation of AI solutions.

- Analyze and understand technical requirements and propose AIbased solutions to address complex problems.

- Collaborate with cross-functional teams to design and develop AI models and algorithms that meet business objectives.

- Investigate and resolve technical blockers and challenges faced by development teams during the AI implementation process.

- Stay up to date with the latest advancements and trends in AI technologies and bring innovative ideas to the organization.

- Actively participate in Agile methodologies, including Scaled Agile Framework (SAFe), and contribute to PI planning, backlog grooming, and sprint reviews.

- Conduct code reviews, provide constructive feedback, and mentor junior team members in AI best practices and techniques.

- Collaborate with stakeholders to identify opportunities for applying AI technologies and drive their adoption across the organization

- Manage delivery of analytical projects in partnership with business and IT

- Own KPI and business performance metrics jointly with business partners.

- Conduct advanced statistical analysis to provide actionable insights and identify trends.

- Build models with Python and machine learning libraries (Numpy, Pandas, Scikit Learn, Tensorflow, PyTorch)

- Building core of Artificial Intelligence and Cognitive Service as Vision, Text, NLP, NLU, and others.

- Capable of quickly becoming familiar with new approaches to Machine Learning.

- Exploring or working on some of the latest advancements in the deep learning space like TensorFlow, PyTorch

- Responsible for Data and Analytics insights delivery to business owner/client.

- Drive significant impact and value in building, growing Data Science Centre of Excellence.

- Provide machine learning methodology leadership.

- Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.

- Work with fellow data scientists/SW engineers to buildout other parts of the infrastructure, effectively communicating your needs and understanding theirs

- and address external and internal shareholder's product challenges.

- Practical experience in feature engineering and evaluation, automation of such tasks, model interpretation & visualization.

- Experience or willingness to learn and work in Agile and iterative development.

- Strong drive to learn and master new technologies and techniques.

- Deep understanding of data structures, algorithms, and excellent problem-solving skills.

- Willing to work in fast-paced work environment.

- Partner with the business to understand the questions they are trying to address to unlock value, and the data they have or need to collect to address the question.

- Engage on a regular basis to refine opportunities and develop a pathway for value generating data projects.

- Assist in designing data capture / experimental setups for exploratory work, or changes in process / data capture in existing systems.

- Perform exploratory data analysis, using R or Python,and provide rapid iterations of analysis to refine posed problems, and identify potential solutions.

- Develop statistical models, algorithms and/or machine learning algorithms to analyse data and address a particular business question.

- Assist and supervise Data Engineers in developing and deploying production workflows for taking data in realtime or periodically from sites / business functions,

- passing the data through the developed models and producing the relevant reporting without human intervention.

- Work with and support data team in architecture of data warehousing and data-lake as required.

- Support the Model Architect within the relevant features to design training and deployment approaches for data science and machine learning model components.

- Perform solution research and rapid iterations of development to refine posed problems and identify potential solutions.