Brand Influencer -Quad Cities (Moline)
Dentsu Creative (MKTG), Moline, IL, United States
Overview
The cities near Davenport, IA that boast the highest number of content writer jobs are:
Rockford
Naperville
Joliet
Aurora
Madison
Elgin
Springfield
Peoria
The 10 cities near Davenport, IA that have the most job openings are:
Cedar Rapids
Rockford
Naperville
Joliet
Aurora
Madison
Elgin
Springfield
Peoria
Bloomington
The 10 most popular job searches in Davenport, IA are:
amazon
work from home
computer security
online
cyber security
data entry clerk
high paying
amazon warehouse
data entry
customer service
We’re seeking Statisticians with strong English writing skills to join our Deep Research for Forecasting project. In this role, you will review time-series plots (a quantity of interest over time) along with brief contextual descriptions, then identify the most meaningful patterns in the data and produce concise, well-reasoned causal chains explaining what likely drove those patterns.
Your work will help create high-quality tasks used to train and evaluate AI systems on forecasting-related reasoning. You will focus on distinguishing signal from noise, articulating plausible mechanisms (root cause → intermediate drivers → observed time-series impact), and writing explanations that are clear, grounded, and useful for downstream model training.
Responsibilities
Create Forecasting Training Tasks : Given a time-series plot and short description, identify the most important patterns (trend, seasonality, regime changes, outliers, step changes, cyclical behavior, variance shifts) and document them clearly.
Write Causal Chains : Produce concise causal narratives that explain patterns from root cause → mechanism → observable time-series effect, prioritizing the most meaningful drivers and avoiding generic explanations.
Ensure Clarity & Usefulness for AI Training : Write structured, high-signal explanations that are easy to evaluate, minimizing ambiguity and making assumptions explicit when necessary.
Maintain Consistency & Quality : Follow project guidelines and rubrics to ensure outputs are accurate, coherent, and comparable across many examples.
Weekly Commitment : 10 hours / week
Qualifications
You have an educational and / or professional background in Statistics or a closely related field (e.g., Mathematics, Data Science).
Proficient in time-series analysis and forecasting (e.g., trend / seasonality, structural breaks, anomalies, volatility shifts, lag effects).
Excellent English writing skills with a clear, structured, concise style.
Strong analytical judgment and ability to interpret data visualizations with precision.
Comfortable forming plausible causal explanations while clearly separating evidence from assumptions.
Optional : Domain knowledge in one or more of the following : Healthcare; Climate / oceanography; Economics & finance; Cloud operations; Transportation.
#J-18808-Ljbffr
Rockford
Naperville
Joliet
Aurora
Madison
Elgin
Springfield
Peoria
The 10 cities near Davenport, IA that have the most job openings are:
Cedar Rapids
Rockford
Naperville
Joliet
Aurora
Madison
Elgin
Springfield
Peoria
Bloomington
The 10 most popular job searches in Davenport, IA are:
amazon
work from home
computer security
online
cyber security
data entry clerk
high paying
amazon warehouse
data entry
customer service
We’re seeking Statisticians with strong English writing skills to join our Deep Research for Forecasting project. In this role, you will review time-series plots (a quantity of interest over time) along with brief contextual descriptions, then identify the most meaningful patterns in the data and produce concise, well-reasoned causal chains explaining what likely drove those patterns.
Your work will help create high-quality tasks used to train and evaluate AI systems on forecasting-related reasoning. You will focus on distinguishing signal from noise, articulating plausible mechanisms (root cause → intermediate drivers → observed time-series impact), and writing explanations that are clear, grounded, and useful for downstream model training.
Responsibilities
Create Forecasting Training Tasks : Given a time-series plot and short description, identify the most important patterns (trend, seasonality, regime changes, outliers, step changes, cyclical behavior, variance shifts) and document them clearly.
Write Causal Chains : Produce concise causal narratives that explain patterns from root cause → mechanism → observable time-series effect, prioritizing the most meaningful drivers and avoiding generic explanations.
Ensure Clarity & Usefulness for AI Training : Write structured, high-signal explanations that are easy to evaluate, minimizing ambiguity and making assumptions explicit when necessary.
Maintain Consistency & Quality : Follow project guidelines and rubrics to ensure outputs are accurate, coherent, and comparable across many examples.
Weekly Commitment : 10 hours / week
Qualifications
You have an educational and / or professional background in Statistics or a closely related field (e.g., Mathematics, Data Science).
Proficient in time-series analysis and forecasting (e.g., trend / seasonality, structural breaks, anomalies, volatility shifts, lag effects).
Excellent English writing skills with a clear, structured, concise style.
Strong analytical judgment and ability to interpret data visualizations with precision.
Comfortable forming plausible causal explanations while clearly separating evidence from assumptions.
Optional : Domain knowledge in one or more of the following : Healthcare; Climate / oceanography; Economics & finance; Cloud operations; Transportation.
#J-18808-Ljbffr