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.
Role Overview We are seeking a
Data Scientist
who will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to support business and technical decision-making. The ideal candidate will possess strong analytical thinking, statistical knowledge, and experience working with Python, R, SQL, and visualization tools.
Key Responsibilities
Collect, clean, and preprocess structured and unstructured data from multiple sources.
Develop predictive and statistical models using Python, R, or similar tools.
Work on machine learning algorithms including regression, classification, and clustering.
Design and implement data pipelines and automation workflows for efficient model deployment.
Visualize insights using tools such as
Tableau, Power BI, or Matplotlib/Seaborn .
Collaborate with cross-functional teams (engineering, business, and operations) to translate data insights into measurable outcomes.
Present findings and recommendations to clients and stakeholders in clear, actionable formats.
Qualifications
Bachelor’s or Master’s degree in
Computer Science, Data Science, Statistics, or related field .
Proficiency in
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
and
SQL .
Strong understanding of
machine learning, statistics, and data modeling techniques .
Experience with
data visualization and BI tools
(Tableau, Power BI, Looker, etc.).
Familiarity with
big data tools
(Spark, Hadoop) is a plus.
Excellent problem-solving and communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Company Description Alenotech Solutions LLC specializes in connecting top-tier technology talent with leading organizations across the U.S. Our mission is to empower professionals through advanced training, project placement, and long-term career development in cutting-edge technologies like Data Science, AI, and Cloud Computing.
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.
Role Overview We are seeking a
Data Scientist
who will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to support business and technical decision-making. The ideal candidate will possess strong analytical thinking, statistical knowledge, and experience working with Python, R, SQL, and visualization tools.
Key Responsibilities
Collect, clean, and preprocess structured and unstructured data from multiple sources.
Develop predictive and statistical models using Python, R, or similar tools.
Work on machine learning algorithms including regression, classification, and clustering.
Design and implement data pipelines and automation workflows for efficient model deployment.
Visualize insights using tools such as
Tableau, Power BI, or Matplotlib/Seaborn .
Collaborate with cross-functional teams (engineering, business, and operations) to translate data insights into measurable outcomes.
Present findings and recommendations to clients and stakeholders in clear, actionable formats.
Qualifications
Bachelor’s or Master’s degree in
Computer Science, Data Science, Statistics, or related field .
Proficiency in
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
and
SQL .
Strong understanding of
machine learning, statistics, and data modeling techniques .
Experience with
data visualization and BI tools
(Tableau, Power BI, Looker, etc.).
Familiarity with
big data tools
(Spark, Hadoop) is a plus.
Excellent problem-solving and communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Company Description Alenotech Solutions LLC specializes in connecting top-tier technology talent with leading organizations across the U.S. Our mission is to empower professionals through advanced training, project placement, and long-term career development in cutting-edge technologies like Data Science, AI, and Cloud Computing.
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