The Organisation
Bitwise Agronomy

is a scale-up operation offering farmers operational insight using automated crop analysis via computer vision.
We aim to merge modern leading technologies with agriculture to enable farmers to make better management decisions due to more accurate yield forecasting, while also reducing operational costs, increasing productivity and fostering good quality crops.
Bitwise Agronomy works globally and as such flexibility is required to accommodate various hours of work across a range of time zones.
Position Context & Purpose
The position of

Yield Forecaster

exists to:
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Translate complex data sets, including growing degree days, temperature, fruit counts, solar radiation, and other relevant variables, into accurate and actionable yield predictions
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Fix the data.

Profile new datasets, find the quality problems, and either fix them or flag them loudly. A lot of the value here is noticing a number is wrong before anyone else does.
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Make the work reproducible.

Write queries and scripts someone else can rerun next quarter without you in the room.
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Communicate the result.

Turn analysis into a one-pager, a chart, or a five-minute explanation a non-technical stakeholder can act on.
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Be an interface with our customers, leading agronomic/technical discussions, interpreting their needs, and refining forecasts based on their valuable inputs,
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Actively contribute to the growth and success of

Bitwise Agronomy

by supporting continuous improvement and effectively participating as a member of the team.
Key Accountabilities
Agronomy
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Hands-on experience in commercial berry production
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Strong understanding of the key drivers influencing crop yield (e.g., growing degree days, temperature, solar radiation, fruit development).
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Strong understanding of agronomy practices across in commercial berry farms
Data
Spreadsheets — Excel and Google Sheets
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Confident with pivot tables, lookups (XLOOKUP / INDEX-MATCH), conditional aggregation (

📌 Berry Yield Forecaster (Castro)
🏢 Bitwise Agronomy
📍 Castro