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Data Science-Senior Manager

Patancheru

  • Organization: ICRISAT - The International Crops Research Institute for the Semi-Arid Tropics
  • Location: Patancheru
  • Grade: Senior level - Senior
  • Occupational Groups:
    • Statistics
    • Information Technology and Computer Science
    • Scientist and Researcher
    • Managerial positions
  • Closing Date: Closed

Key skills

AI/ML

Python

Tensorflow Keras

PyTorch

SQL

Additional/Preferred Skills

Application dev

Data visualization

Preferred Qualifications

Computer Science

Engineering

Data Science

Senior Manager – Data Science

ICRISAT seeks applications from Indian nationals, for the position of Senior Manager - Data Science to support activities of Global Research Program on Resilient Farm and Food Systems (GRP-RF&FS).  The incumbent will be based at the Headquarters at Patancheru, Telangana.

ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi- arid or dryland tropics has over 2 billion people and 644 millions of these are the poorest of the poor. ICRISAT and its partners help empower these disadvantaged populations to overcome poverty, hunger and a degraded environment through better agricultural production systems.

ICRISAT is headquartered at Patancheru near Hyderabad, India, with two regional hubs and eight country offices in sub-Saharan Africa. ICRISAT envisions prosperous, food-secure and resilient dryland tropics. Its mission is to reduce poverty, hunger, malnutrition and environmental degradation in the dryland tropics. ICRISAT conducts research on its mandated crops of chickpea, pigeonpea, groundnut, sorghum, pearl millet and finger millet in the arid and semi-arid tropics. The Institute focuses its work on drylands and in protecting the environment. Tropical dryland areas are usually seen as resource-poor and perennially beset by shocks such as drought, thereby trapping dryland communities in poverty and hunger and making them dependent on external aid. Please visit – www.icrisat.org

The team at Digital agriculture under the Global Research Program on Resilient Farm and Food Systems (GRP-RF&FS) is actively involved in bringing innovative digital solutions to support the agriculture system. The key scientific area of research includes using Machine Learning and Artificial Intelligence tools for providing actionable decisions for land/soil management, crop cultivation, insect/pest/disease identification, weather-based advisories, etc. The team is looking for a dedicated resource for data science to develop the data driven tools.

Responsibilities:

·Design conceptual data framework by engaging the stakeholder and assessing the projects requirements.

·Developing data sourcing methodologies as per requirements of projects

·Analyse existing and collected data to understand the patterns and trends.

·Use computer vision methodologies to develop the solutions for farming solutions such as plant protection, yield forecast, nutrient management, etc.

·Develop predictive models and machine-learning algorithms.

·Collaborate with software development team for developing the software using machine-learning models and dashboards using data visualization techniques.

·Identify appropriate solutions, databases, programming packages to design and implement the solutions for mobile and web-based data collection and visualization.

Required skills:

·Masters in computer science, engineering, data science with 5 to 8 years of relevant experience in the field with a significant experience in applied data science product development.

·Good knowledge and hands on experience of statistical programming languages like R, Python, and database query languages like SQL.

·Familiarity other database query languages for handling bigdata will be added advantage.

·Good knowledge and hands on experience of development platforms for Machine Learning application such as Tensorflow, Keras, PyTorch, etc.

·Proficiency in applied statistics including statistical tests, distributions, regression, etc.; data mining tools; and machine learning methodologies like decision forests, k-nearest neighbors, Naive Bayes, SVM, etc.

·Hands on experience with data visualization tools such as powerbi, tableau, matplotlib, ggplot, d3.js., etc.

·Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.

·Excellent documentation and presentation skills.

General:

This is a contractual position for a period of 24 months.

How to apply:

Applicants should apply on or before 07 May 2023, with their latest Resume, and the names and contact information of three references that are knowledgeable about their professional qualifications and work experience. All applications will be acknowledged; however only short-listed candidates will be contacted.

ICRISAT is an equal opportunity employer.

This vacancy is now closed.
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