Energy Jobline ZR
We are looking for a Data Scientist with 5 to 10 years of experience to leverage data to uncover insights, create predictive models, and drive data‑driven decision making within the organization. The opportunity is for a W2 basis only, no C2C.
Responsibilities
Leverage data to uncover insights and create predictive models to drive decision making.
Conduct advanced analytics, machine learning, and problem solving to extract actionable information from large datasets.
Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights.
Apply statistical techniques to uncover meaningful information from data, use regression analysis, clustering, classification, and other modeling techniques.
Develop and deploy machine learning models to predict future trends, behaviors, and outcomes.
Create compelling data visualizations to communicate findings to both technical and non‑technical stakeholders using tools like Tableau, Power BI, or Python libraries.
Formulate and test hypotheses, providing statistical validation for business decisions and recommendations.
Engineer relevant features for machine learning models to enhance predictive power.
Build and fine‑tune machine learning algorithms such as decision trees, random forests, neural networks, etc., depending on the specific problem.
Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses.
Deploy machine learning models in production environments to support real‑time decision making.
Design and analyze A/B tests to measure the impact of changes and improvements.
Ensure ethical data practices, including privacy and compliance with data protection regulations.
Collaborate with cross‑functional teams, including engineers, business analysts, and domain experts, to understand requirements and align data science initiatives with organizational goals.
Provide guidance and mentorship to junior data scientists and analysts.
Continuously learn and stay updated on data science tools, techniques, and trends through professional development.
Qualifications
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering; Master’s or Ph.D. is a plus.
5 to 10 years of experience in data science, including machine learning and statistical analysis.
Proficiency in data analysis tools and programming such as Python, R, or Julia.
Strong knowledge of machine learning algorithms and their applications.
Experience with data visualization tools like Tableau or Power BI, or Python libraries such as Matplotlib or Seaborn.
Solid understanding of databases and data manipulation using SQL.
Excellent problem‑solving and critical thinking skills.
Strong communication skills for conveying complex findings to technical and non‑technical stakeholders.
Familiarity with big data technologies and distributed computing frameworks such as Hadoop or Spark is a plus.
Knowledge of data ethics, privacy, and compliance considerations.
Thanks and Regards, Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205‑756‑4834 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.
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Responsibilities
Leverage data to uncover insights and create predictive models to drive decision making.
Conduct advanced analytics, machine learning, and problem solving to extract actionable information from large datasets.
Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights.
Apply statistical techniques to uncover meaningful information from data, use regression analysis, clustering, classification, and other modeling techniques.
Develop and deploy machine learning models to predict future trends, behaviors, and outcomes.
Create compelling data visualizations to communicate findings to both technical and non‑technical stakeholders using tools like Tableau, Power BI, or Python libraries.
Formulate and test hypotheses, providing statistical validation for business decisions and recommendations.
Engineer relevant features for machine learning models to enhance predictive power.
Build and fine‑tune machine learning algorithms such as decision trees, random forests, neural networks, etc., depending on the specific problem.
Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses.
Deploy machine learning models in production environments to support real‑time decision making.
Design and analyze A/B tests to measure the impact of changes and improvements.
Ensure ethical data practices, including privacy and compliance with data protection regulations.
Collaborate with cross‑functional teams, including engineers, business analysts, and domain experts, to understand requirements and align data science initiatives with organizational goals.
Provide guidance and mentorship to junior data scientists and analysts.
Continuously learn and stay updated on data science tools, techniques, and trends through professional development.
Qualifications
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering; Master’s or Ph.D. is a plus.
5 to 10 years of experience in data science, including machine learning and statistical analysis.
Proficiency in data analysis tools and programming such as Python, R, or Julia.
Strong knowledge of machine learning algorithms and their applications.
Experience with data visualization tools like Tableau or Power BI, or Python libraries such as Matplotlib or Seaborn.
Solid understanding of databases and data manipulation using SQL.
Excellent problem‑solving and critical thinking skills.
Strong communication skills for conveying complex findings to technical and non‑technical stakeholders.
Familiarity with big data technologies and distributed computing frameworks such as Hadoop or Spark is a plus.
Knowledge of data ethics, privacy, and compliance considerations.
Thanks and Regards, Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205‑756‑4834 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