Energy Jobline ZR
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Benefits
401(k)
Bonus based on performance
Competitive salary
We’re looking for a
Senior Data Scientist
to lead advanced analytics on one of the nation’s most visible public-facing systems. You’ll analyze large-scale
clickstream, event, and user-journey data
to identify friction points and improve digital experiences for millions. This is a hands‑on technical role where your code, models, and insight will directly inform product and policy decisions.
What You’ll Do
Build analytical frameworks for
funnel, path, and time-to-completion
modeling.
Design and deploy
Python
pipelines using
pandas, NumPy, scikit-learn, statsmodels , and
Spark or Databricks .
Apply
regression, clustering, survival analysis, and causal inference
to understand user behavior.
Partner with UX and product teams to translate data findings into design recommendations.
Create
interactive visualizations
(Plotly Dash, Power BI, Tableau) for leadership insights.
Ensure data quality, reproducibility, and privacy compliance within secure cloud environments.
What We’re Looking For
5+ years in
data science, analytics, or applied statistics .
Strong coding in
Python and SQL ; experience with big-data tools ( Spark, Snowflake, Databricks ).
Deep knowledge of
behavioral, funnel, or clickstream analytics .
Solid grounding in
statistical testing, A/B experimentation, and ML fundamentals .
Excellent communication to explain complex results clearly to non-technical partners.
Why Join Us
Shape analytics for a
high‑impact federal digital modernization effort .
Work on meaningful, large‑scale data challenges with real public value.
Hybrid flexibility, competitive compensation, and a mission‑driven culture focused on learning and collaboration.
Flexible work from home options available.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Benefits
401(k)
Bonus based on performance
Competitive salary
We’re looking for a
Senior Data Scientist
to lead advanced analytics on one of the nation’s most visible public-facing systems. You’ll analyze large-scale
clickstream, event, and user-journey data
to identify friction points and improve digital experiences for millions. This is a hands‑on technical role where your code, models, and insight will directly inform product and policy decisions.
What You’ll Do
Build analytical frameworks for
funnel, path, and time-to-completion
modeling.
Design and deploy
Python
pipelines using
pandas, NumPy, scikit-learn, statsmodels , and
Spark or Databricks .
Apply
regression, clustering, survival analysis, and causal inference
to understand user behavior.
Partner with UX and product teams to translate data findings into design recommendations.
Create
interactive visualizations
(Plotly Dash, Power BI, Tableau) for leadership insights.
Ensure data quality, reproducibility, and privacy compliance within secure cloud environments.
What We’re Looking For
5+ years in
data science, analytics, or applied statistics .
Strong coding in
Python and SQL ; experience with big-data tools ( Spark, Snowflake, Databricks ).
Deep knowledge of
behavioral, funnel, or clickstream analytics .
Solid grounding in
statistical testing, A/B experimentation, and ML fundamentals .
Excellent communication to explain complex results clearly to non-technical partners.
Why Join Us
Shape analytics for a
high‑impact federal digital modernization effort .
Work on meaningful, large‑scale data challenges with real public value.
Hybrid flexibility, competitive compensation, and a mission‑driven culture focused on learning and collaboration.
Flexible work from home options available.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr