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Data Scientist, Deep Learning

| Greater Boston Area

Indigo improves grower profitability, environmental sustainability, and consumer health through the use of natural microbiology and digital technologies. Utilizing beneficial plant microbes and agronomic insights, Indigo works with growers to sustainably produce high quality harvests. The company then connects growers and buyers directly to bring these harvests to market. Working across the supply chain, Indigo is forwarding its mission of harnessing nature to help farmers sustainably feed the planet. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil. http://www.indigoag.com/

As a Data Scientist on the GeoInnovation team focused on leveraging deep learning based algorithms, you will apply your extensive experience in building cutting edge statistical models to complex problems involving incredibly large datasets. You will be both an important individual contributor and a thought leader on the GeoInnovation team. Collaborating across teams, you will also deploy scalable models on our cloud infrastructure and put the results of your work into context for Indigo business leaders.

Responsibilities:

  • Identify role of multi-layered network based models in existing workflows and create development and testing plans
  • Take ownership of end-to-end data analyses using these models and deliver on challenging deadlines
  • Effectively interface with engineers to scale these models and build code that can be deployed into production systems
  • Design long-term strategies to leverage newest developments in machine learning within context of the broader GeoInnovation Data Science priorities
  • Contribute thoughtful business recommendations using effective communication of findings (through synthesis and visualization of quantitative information)

 

Competencies:

  • Insatiable hunger to learn; desire to evangelize cutting-edge machine learning techniques, both within Indigo and externally
  • Extremely comfortable working with messy datasets from a variety of non-normalized sources
  • Enjoys tackling complex analysis problems; able to identify and apply appropriate techniques as necessary
  • Proven oral and written communication skills; able to translate results of complex analyses into interpretable results for a variety of audiences
  • Strong cross-functional collaboration skills
  • Proactive and self-motivated; drives team focus and strategy
  • Excellent coding skills, able to inherit and improve an existing codebase; writes well-documented, clean, maintainable code in a collaborative environment
  • Thrives in a fast-paced, growth environment
  • Excellent prioritization skills

Qualifications:

  • Basic Qualifications
    • 2+ years of professional experience using Python and/or R for data analysis (both preferred).
    • Conversant in the use of open-source deep-learning packages to solve real-world problems.
    • An academic degree with a quantitative focus.
  • Preferred Qualifications
    • Extensive practical experience building convolutional, recursive and recurrent neural networks using modern machine learning frameworks such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano for spatial predictive modelling.
    • Extensive practical experience using autoencoders and Boltzmann networks to learn optimal feature embeddings in high-dimensional spaces.
    • Experience in mining and managing large volume data-sets.
    • Experience with geospatial data, remote sensing and/or imagery data.
    • Experience in a software and/or product development environment.
    • Experience with git based version control and AWS/Google Cloud infrastructure.
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Technology we use

  • Engineering
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • TypescriptLanguages
    • GraphQLLanguages
    • ReactLibraries
    • ReduxLibraries
    • ExpressFrameworks
    • Node.jsFrameworks
    • MySQLDatabases
    • PostgreSQLDatabases

Location

On the edge of Charlestown, we are within walking distance to restaurants and bars. The Sullivan Square T and bus stop is also right next door!

An Insider's view of Indigo

What projects are you most excited about?

Our mission is to provide agronomists with unbiased real-time data we are collecting across thousands of acres at the ground level and from space. It's such a thrill to be working on the data and analysis perspective of this massively cross-disciplinary team that helps agronomists initiate data-powered conversations to provide substantial results.

Jyoti

Principal Data Scientist

What makes someone successful on your team?

A successful Indigo team member is someone willing to continuously learn and improve, regardless of experience or role. Whether you’re an Engineer, Account Manager, Business Analyst, or Scientist, successful team members keep the bigger picture in mind and bridge disciplines to solve problems facing the incredibly complex system that is agriculture

Hilary

Software Product Manager

What are Indigo Perks + Benefits

Health Insurance & Wellness Benefits
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
Company Equity
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Parking
Recreational Clubs
Relocation Assistance
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
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