Jobs via Dice
Dice is the leading career destination for tech experts at every stage of their careers. Our client, VST Consulting, Inc, is seeking the following. Apply via Dice today!
Data Scientist Location: NJ, NY, CT, PA, DE
We are seeking a highly skilled
Data Scientist
to design, build, and deploy data-driven solutions that support business decision-making. The ideal candidate will have strong analytical abilities, expertise in machine learning, and hands‑on experience working with large datasets and cloud platforms.
Key Responsibilities
Collect, clean, and analyze structured and unstructured datasets to extract actionable insights.
Build, train, and optimize machine learning and statistical models for prediction, classification, clustering, and NLP tasks.
Develop scalable data pipelines and model deployment workflows in collaboration with data engineering teams.
Translate business problems into analytical solutions and present results to non-technical stakeholders.
Perform A/B tests, statistical experiments, and deep-dive analyses to support business strategy.
Create dashboards, visualizations, and automated reports using BI and analytics tools.
Deploy models into production using MLOps tools and monitor model performance and data drift.
Research and implement new algorithms, tools, and data science best practices.
Required Skills
Strong programming skills in Python (NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch preferred).
Experience with machine learning, statistical modeling, feature engineering, and data preprocessing.
Expertise in SQL and experience with large-scale data (Spark, Databricks, Hadoop, Snowflake, BigQuery, etc.).
Knowledge of data visualization tools such as Tableau, Power BI, or Plotly.
Experience building end-to-end ML solutions from exploration to production.
Familiarity with MLOps, model deployment, CI/CD, and version control (Git).
Strong understanding of probability, statistics, and experimental design.
Excellent communication and problem-solving skills.
Seniority Level Entry level
Employment Type Full-time
Job Function Engineering and Information Technology
Industries Software Development
#J-18808-Ljbffr
Data Scientist Location: NJ, NY, CT, PA, DE
We are seeking a highly skilled
Data Scientist
to design, build, and deploy data-driven solutions that support business decision-making. The ideal candidate will have strong analytical abilities, expertise in machine learning, and hands‑on experience working with large datasets and cloud platforms.
Key Responsibilities
Collect, clean, and analyze structured and unstructured datasets to extract actionable insights.
Build, train, and optimize machine learning and statistical models for prediction, classification, clustering, and NLP tasks.
Develop scalable data pipelines and model deployment workflows in collaboration with data engineering teams.
Translate business problems into analytical solutions and present results to non-technical stakeholders.
Perform A/B tests, statistical experiments, and deep-dive analyses to support business strategy.
Create dashboards, visualizations, and automated reports using BI and analytics tools.
Deploy models into production using MLOps tools and monitor model performance and data drift.
Research and implement new algorithms, tools, and data science best practices.
Required Skills
Strong programming skills in Python (NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch preferred).
Experience with machine learning, statistical modeling, feature engineering, and data preprocessing.
Expertise in SQL and experience with large-scale data (Spark, Databricks, Hadoop, Snowflake, BigQuery, etc.).
Knowledge of data visualization tools such as Tableau, Power BI, or Plotly.
Experience building end-to-end ML solutions from exploration to production.
Familiarity with MLOps, model deployment, CI/CD, and version control (Git).
Strong understanding of probability, statistics, and experimental design.
Excellent communication and problem-solving skills.
Seniority Level Entry level
Employment Type Full-time
Job Function Engineering and Information Technology
Industries Software Development
#J-18808-Ljbffr