Senior Data Scientist – Decision Science

Company Details

SatSure is a deep tech, decision intelligence company. We leverage advances in satellite remote sensing, machine learning, big data analytics and cloud computing to create products and solutions which help enterprises and their people make smart decisions.

Job Description

Decision Intelligence: the final frontier. This is going to define the voyage of SatSure. Our mission: using space data applications for solving sustainability and financial inclusion. To unlock the true potential of geospatial data in a way no company has done before!
We are actively looking for a candidate with 3-5 years of industry experience to join as Senior Data Scientist (Decision Science) to bridge the gap between DS/ML R&D and business solutions. The person will be instrumental in building the decision intelligence platform and will work with interdisciplinary teams to understand the business objectives, help data scientists to model them, and data analysts to track them.
SatSure Analytics India Pvt Ltd. SatSure is a deep tech, decision Intelligence company which works primarily at the nexus of geospatial data, data science and engineering creating products for finance, agriculture, climate change and infrastructure sector impacting millions of lives. We want to make insights from earth observation data accessible to all.
Data Analytics and Product team is at the forefront of SatSure’s data driven Decision Intelligence platform. It forms the backbone of strategy and product development. The team works in a highly collaborative and cross functional manner with geospatial researchers, ML engineers and business analysts. The solutions that we design span from agrifinance to construction monitoring and impact fields ranging from power transmission to sustainability.
What you will do: 
  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
  • Identifying improvements for DS/ML models used in production
  • Collaborating with different teams and working together to identify and influence change to adopt optimized decision-making solutions.
  • Driving a culture of data driven business solutions
  • Study the interdependency of remote sensing derived data with other auxiliary datasets.
  • Collaborate with data scientists to provide input on study protocol, design studies.
  • Planning and implementation of data quality assurance plans.
  • Keep updated on new developments and research in the field of statistical learning and quality assurance.
  • Come up with metrics for measuring product improvements and own the reporting and tracking of them
  • Framing proper hypothesis and designing proper experiment framework to test metrics
  • Proactively seek out opportunities to build new solutions

Requirements

Educational Qualifications: Master’s degree in Mathematics/Statistics//Computer Science or equivalent
Experience: 3-5 years
Domain Knowledge: Modeling financial data, Understanding of DS/ML modeling and operations research,  business intelligence, Analytical mind and business acumen, Strong math skills (e. g. statistics, algebra)
Must Have
  • 4+ year programming in python (R optional)
  • Experience working with large scale data in mixed method research
  • A proven ability to learn new tools and technologies quickly
  • Experience in applying statistical skills, such as identifying distributions, statistical testing, regression, classification, clustering etc.
  • Expert-level proficiency in statistical/ML predictive techniques
  • A track record of helping cross-functional product teams identify and prioritize analytics needs and experimentation opportunities that will deliver high-quality, data-driven insights in a timely manner using the appropriate methodologies
  • An ability to translate complex topics and tools into easy to understand concepts to create scalable self serve analytics models and mentor more junior members of the team

Good to Have:

  • Past experience in team leading/management
  • Past experience in working with business/product teams
  • Experience in financial modeling
  • Proven ability to communicate highly technical results to a diverse audience
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