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Open nowPosted 3 days ago

CFCO - 1529 Lead Market Analytics and Machine Learning

Softobiz Technologies Pvt. Ltd.43 open roles

Where
Hyderabad
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Your applicationOpen nowCFCO - 1529 Lead Market Analytics and Machine LearningSoftobiz Technologies Pvt. Ltd. · Hyderabad

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Softobiz Technologies Pvt. Ltd.'s own form.

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Softobiz Technologies Pvt. Ltd. postings stay open a median of 12 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.2%30 days
  6. 59.1%60 days
This job: posted 3 days ago

Softobiz Technologies Pvt. Ltd. median: 12 days open

The posting

Lead Market Analytics and Machine Learning

Location: Kochi preferred

Domain: Agriculture, food and commodity markets

Experience: Indicatively 6–9 years

Role purpose

Lead a small market analytics team while remaining hands-on with analysis, statistical modelling, machine learning and forecasting. Translate business questions into clear market insights and reports that support commercial decisions.

Key responsibilities

  • Define research priorities, analytical methods and delivery schedules with business stakeholders.
  • Analyze prices, production, trade, supply and demand, seasonality, weather and other relevant market drivers.
  • Develop and validate statistical and machine learning models, including time-series forecasts.
  • Establish data quality checks, model evaluation methods and documentation standards.
  • Prepare and review dashboards, market reports and presentations for accuracy and clarity.
  • Communicate findings, assumptions, uncertainty and commercial implications to non-technical stakeholders.
  • Mentor an experienced analyst and a junior analyst or intern as the team grows.

Required qualifications and skills

  • Bachelor’s or master’s degree in Mathematics, Statistics, Econometrics, Data Science or a closely related quantitative discipline.
  • Strong hands-on Python and SQL skills.
  • Strong grounding in statistics, regression, time-series analysis and forecasting.
  • Practical experience evaluating models through backtesting and appropriate metrics.
  • Ability to work with incomplete or inconsistent datasets.
  • Experience independently delivering analytical projects and guiding analysts.
  • Excellent written and spoken English, including business report writing.

Preferred experience

  • Agriculture, food, commodities, economic research, retail pricing or supply-chain analytics.
  • Power BI, Tableau or a comparable visualisation tool.

Direct engagement with clients or international business stakeholders.

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