Job Summary

Data Scientist/Analyst

  • Location:
    Mountain View , California
  • Category:
    Analyst
  • Contract Type:
    Contract/Temporary
  • Job reference:
    US_EN_3_105435_321671

Modis Engineering is currently recruiting for a Forecasting Analyst/Data Scientist job located in Mountain View, CA for a 1 year contract.

The Forecasting Analyst/Data Scientist is a critical member of the team, responsible for designing and implementing technical solutions that support forecasting accuracy, speed, and insight. You will play a key role in helping client scale and expand.

To be successful in this role, you must have excellent analytical skills (ideally also statistical and/or programming/SQL skills), be able to clearly articulate and discuss complex quantitative concepts, and be comfortable in an ambiguous, fast-paced environment.
Responsibilities
Forecasting Processes and Automation

Generate, analyze, modify and publish weekly forecasts of GX market demand over time
Identify, model and incorporate impacts of major business decisions in forecasts, communicate the impact and methodology to cross-functional partners
Improve publishing speed by designing and developing technical solutions to replace repeated manual work
Manage forecast data pipeline and diagnose/fix pipeline issues
Administer SAS forecasting system


Forecast Accuracy

Work with cross-functional partners to collect and synthesize quantitative and qualitative data, propose and implement improvements to existing processes, and create scalable solutions to address forecasting problems
Build technical solutions that apply learnings from prior forecast errors to improve future-looking forecasts
Work with data scientists to develop and improve our automated forecasting systems, including applying statistical and other analytical techniques to improving system performance (i.e. efficiency and forecast accuracy)

Forecasting Insight

Build tools that enable the team to break down historical forecast errors with greater detail and accuracy; design and implement solutions to facilitate communication of findings with cross-functional partners
Generate impactful data visualizations and commentary on forecast trends


Qualifications

BA/BS degree in a quantitative field (e.g. Statistics, Mathematics, Computer Science, Operations Research, Quantitative Economics). Master's Degree or PhD preferred. Knowledge in forecasting and other relevant statistical techniques
2-5 years of work experience in a highly analytical role, ideally in forecasting, data/business analytics, data science, S&OP and/or management consulting
Demonstrated analytical and problem structuring skills
Extremely strong spreadsheet proficiency
2-5 years experience with programming languages or analytical tools (e.g. R, Python, SQL, SAS); high degree of familiarity in applying technical solutions to address business challenges
Ability to self-start and self-direct work in an unstructured and fast-paced environment; comfort dealing with ambiguity
Strong attention to detail; excellent written & verbal communication skills


If you are interested, then please click APPLY NOW. For other opportunities, available, please go to www.modis.com. If you have questions about the position, please contact Jharna Kachru at 408-328-0778 or Jharna.Kachru@modis.com.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Equal employment opportunity information:
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