Decision Scientist

1 week ago

bangalore, India SatSure Full time

We are looking for a Decision Scientist to join our team, who plays a crucial role in aligning data-driven solutions with business objectives, driving decision-making optimization, and fostering a culture of data-driven business solutions. This role requires a deep understanding of statistical learning, hypothesis formulation, and a proactive approach to problem-solving.


About SatSure:


SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.


Join us to be at the forefront of building a deep tech company from India that solves problems for the globe.


Roles & Responsibilities:


  • 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 and identifying new opportunities working closely with clients.
  • 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, and 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.


Qualification :


  • 5 - 8 years of work experience.
  • Master’s degree in Mathematics/Statistics/Business Analytics/Computer Science or equivalent


Must-have:


  • Proficiency in data manipulation and analysis using programming languages like Python or R, as well as database querying using SQL.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI) and data preparation tools (e.g., Pandas, NumPy).
  • Strong analytical and problem-solving skills, including expertise in statistical and machine-learning techniques.
  • Excellent communication skills, including the ability to translate complex technical findings into actionable insights for non-technical stakeholders.
  • Business acumen and an understanding of the banking and finance industry, and agriculture domain knowledge is a plus.
  • Attention to detail, a commitment to data accuracy, and a results-oriented mindset.
  • Domain Knowledge: Modeling financial data, understanding of DS/ML modeling and operations research, decision support, business intelligence, analytical mind, and business acumen, strong math skills (e.g. statistics, algebra), creative informative data visualization skills.


Good to Have:


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


Benefits:


  • Medical Health Cover for you and your family including unlimited online doctor consultations
  • Access to mental health experts for you and your family
  • Dedicated allowances for learning and skill development
  • Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
  • Twice a year appraisal


Interview Process:


  • Intro call
  • Assessment
  • Presentation
  • Interview rounds (ideally up to 3-4 rounds)
  • Culture Round / HR round

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