3+ GIS analysis Jobs in India

About the Company

We are looking for a Data Lead - someone who works at the intersection of data science, GIS, and engineering. We want a leader who not only understands environmental data but someone who can quickly assemble large scale datasets that are crucial to the well being of our planet. Come save the planet with us!

Your Role

Manage: As a leadership position, this requires long term strategic thinking. You will be in charge of daily operations of the data team. This would include running team standups, planning the execution of data generation and ensuring the algorithms are put in production. You will also be the person in charge to dumb down the data science for the rest of us who do not know what it means.

Love and Live Data: You will also be taking all the responsibility of ensuring that the data we generate is accurate, clean, and is ready to use for our clients. This would entail that you understand what the market needs, calculate feasibilities and build data pipelines. You should understand the algorithms that we use or need to use and take decisions on what would serve the needs of our clients well. We also want our Data Lead to be constantly probing for newer and optimized ways of generating datasets. It would help if they were abreast of all the latest developments in the data science and environmental worlds. The Data Lead also has to be able to work with our Platform team on integrating the data on our platform and API portal.

Collaboration: We use Clubhouse to track and manage our projects across our organization - this will require you to collaborate with the team and follow up with members on a regular basis. About 50% of the work, needs to be the pulse of the platform team. You'll collaborate closely with peers from other functions—Design, Product, Marketing, Sales, and Support to name a few—on our overall product roadmap, on product launches, and on ongoing operations. You will find yourself working with the product management team to define and execute the feature roadmap. You will be expected to work closely with the CTO, reporting on daily operations and development. We don't believe in a top-down hierarchical approach and are transparent with everyone. This means honest and mutual feedback and ability to adapt.

Teaching: Not exactly in the traditional sense. You'll recruit, coach, and develop engineers while ensuring that they are regularly receiving feedback and making rapid progress on personal and professional goals.

Humble and cool: Look we will be upfront with you about one thing - our team is fairly young and is always buzzing with work. In this fast-paced setting, we are looking for someone who can stay cool, is humble, and is willing to learn. You are adaptable, can skill up fast, and are fearless at trying new methods. After all, you're in the business of saving the planet!

Requirements

• A minimum of 5 years of industry experience.
• Hyper-curious!
• Exceptional at Remote Sensing Data, GIS, Data Science.
• Must have big data & data analytics experience
• Very good in documentation & speccing datasets
• Experience with AWS Cloud, Linux, Infra as Code & Docker (containers) is a must
• Coordinate with cross-functional teams (DevOPS, QA, Design etc.) on planning and execution
• Lead, mentor and manage deliverables of a team of talented and highly motivated team of developers
• Must have experience in building, managing, growing & hiring data teams. Has built large-scale datasets from scratch
• Managing work on team's Clubhouse & follows up with the team. ~ 50% of work, needs to be the pulse of the platform team
• Exceptional communication skills & ability to abstract away problems & build systems. Should be able to explain to the management anything & everything
• Quality control - you'll be responsible for maintaining a high quality bar for everything your team ships. This includes documentation and data quality
• Experience of having led smaller teams, would be a plus.

Benefits

• Work from anywhere: Work by the beach or from the mountains.
• Open source at heart: We are building a community where you can use, contribute and collaborate on.
• Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
• Flexible timings: Fit your work around your lifestyle.
• Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
• Work Machine of choice: Buy a device and own it after completing a year at BSA.
• Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
• Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.

About the Company

Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!

We are looking for a data scientist to join its growing team. This position will require you to think and act on the geospatial architecture and data needs (specifically geospatial data) of the company. This position is strategic and will also require you to collaborate closely with data engineers, data scientists, software developers and even colleagues from other business functions. Come save the planet with us!

Your Role

Manage: It goes without saying that you will be handling large amounts of image and location datasets. You will develop dataframes and automated pipelines of data from multiple sources. You are expected to know how to visualize them and use machine learning algorithms to be able to make predictions. You will be working across teams to get the job done.

Analyze: You will curate and analyze vast amounts of geospatial datasets like satellite imagery, elevation data, meteorological datasets, openstreetmaps, demographic data, socio-econometric data and topography to extract useful insights about the events happening on our planet.

Develop: You will be required to develop processes and tools to monitor and analyze data and its accuracy. You will develop innovative algorithms which will be useful in tracking global environmental problems like depleting water levels, illegal tree logging, and even tracking of oil-spills.

Demonstrate: A familiarity with working in geospatial libraries such as GDAL/Rasterio for reading/writing of data, and use of QGIS in making visualizations. This will also extend to using advanced statistical techniques and applying concepts like regression, properties of distribution, and conduct other statistical tests.

Produce: With all the hard work being put into data creation and management, it has to be used! You will be able to produce maps showing (but not limited to) spatial distribution of various kinds of data, including emission statistics and pollution hotspots. In addition, you will produce reports that contain maps, visualizations and other resources developed over the course of managing these datasets.

Requirements

These are must have skill-sets that we are looking for:

• Excellent coding skills in Python (including deep familiarity with NumPy, SciPy, pandas).
• Significant experience with git, GitHub, SQL, AWS (S3 and EC2).
• Worked on GIS and is familiar with geospatial libraries such as GDAL and rasterio to read/write the data, a GIS software such as QGIS for visualisation and query, and basic machine learning algorithms to make predictions.
• Demonstrable experience implementing efficient neural network models and deploying them in a production environment.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Capable of writing clear and lucid reports and demystifying data for the rest of us.
• Be curious and care about the planet!
• Minimum 2 years of demonstrable industry experience working with large and noisy datasets.

Benefits

• Work from anywhere: Work by the beach or from the mountains.
• Open source at heart: We are building a community where you can use, contribute and collaborate on.
• Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
• Flexible timings: Fit your work around your lifestyle.
• Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
• Work Machine of choice: Buy a device and own it after completing a year at BSA.
• Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
• Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.