Position: Head of Data Science
Company: Indigo Tech recruitment
Experience required: 5y
Category: Data Science
English level: upper
Published: 2021-06-01T00:00:00+03:00

Responsibilities:
 
- Manage delivery, technical enablement and methodology adoption in tight
collaboration with software and hardware teams and business
stakeholders.
- Drive and adjust DS roadmap based on business needs, capabilities and Gamaya business strategy.
- Support DS projects with senior skills and expertise. Trigger respective content deep dives to ensure the best practice approach and outstanding quality of the solution.
- Identify gaps with respect to DS capabilities and skills. Proactive solution finding and drive respective implementation.
- Develop, and manage the delivery of, DS project portfolio according to priorities.
- Strong collaboration spirit in an agile team environment.
- Establish common practices for the development of Data Science for Remote Sensing (DS4RS)  methods and
solutions.
- Engage with senior business leaders to widen understanding of DS4RS potential and risks, and related business opportunities.
- Identify relevant industry/technology trends, engage with externals
partners/research.
- Act as a role model and "go-to-person" in respect of skills and experience
 
 
Must have, technical skills:
 
- programming skills in Python, with tensorflow/pytorch
- Google cloud platform or similar cloud infrastructure, data version control tool, and dynamic data repositories implementation
- Supervised learning methods: sparse linear regression, kernel methods, svms, neural networks, CNN, RNN, model selection
- Unsupervised learning methods: k means, hierarchical clustering, outlier detection, gmm, density estimation, pca, ica, VAE, GAN
- Experience with Image processing: segmentation, denoising, inpainting, super resolution.
- Experience with time series: classification, switch point detection, forecast, anomaly detection.
 
Nice to have:
 
- Proven publication record in international conferences and journals (e.g., NIPS, ICML, AISTATS, MICCAI, CVPR, ICPR)
- Advanced probabilistic modeling: tensorflow_probability/pymc3, normalizing flows, multiview learning
- Experience with preemptible training workflow in the cloud with kubernetes with gcp or similarly azure/aws
- Computational analysis of algorithms, distributed computing with tf.distribute or similar tool
- Experience with optimization: first order methods: gradient descent, proximal methods, stochastic gradient descent flavours, variational inference.
- Experience with the agribusiness
 
Must have, experience:
 
- Degree in Computer Science, Applied Mathematics, Statistics or related
quantitative fields would be preferred.
- +/-5 years of in-depth ​commercial experience​ in statistical analysis and machine learning.
- Previous experience in a leadership role
- In-depth experience​ in building and deploying innovative solutions.
- High level of analytical problem-solving skills and the ability to assimilate
complex information.
- Experience in project management and working with cross-functional and/or virtual teams.
- Experience with ​Remote Sensing​ is a plus.
- Ability to take a strategic view of Data Science and Remote Sensing and
understands what is required to reach key goals.
- Ability to detect and manage different stakeholders.
- Strong ability to structure and prioritize. Strong delivery focus.
- Strong communication skills (conciseness, clarity), both verbal and written.
- Excellent English language skills
 
 

Benefits:

- Work with a great team of bright scientists and engineers
- Be a part of the sustainable future of agriculture
- Enjoy the dynamic and international environment
- Compensation above the market