Data Scientist

Overview

On Site

$40,000 - $60,000

Full Time

Skills

Adaptability

Algorithms

Analytical Skill

Apache Hadoop

Cloud Computing

Big Data

Attention To Detail

Artificial Intelligence

Dashboard

Conflict Resolution

Computer Vision

Computer Science

Data Visualization

Deep Learning

Decision-making

Communication

Machine Learning (ML)

Google Cloud Platform

Data Science

Data Quality

Job Details

Job Summary

We are seeking a highly skilled and analytical Data Scientist to join our team. The ideal candidate will leverage data-driven approaches, statistical models, and machine learning techniques to extract insights, solve business challenges, and drive decision-making. You will work closely with cross-functional teams to analyze large datasets, develop predictive models, and deliver actionable insights.

Key Responsibilities

Collect, clean, and preprocess structured and unstructured data from multiple sources.
Develop and implement machine learning models, statistical models, and data mining techniques.
Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Collaborate with stakeholders to translate business problems into data science solutions.
Design and evaluate predictive models and algorithms to support business strategies.
Create data visualizations and dashboards to communicate insights clearly.
Optimize models for performance, scalability, and interpretability.
Stay updated with emerging trends, tools, and technologies in data science and AI.
Ensure data quality, integrity, and security in all processes.

Required Qualifications

Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
Strong proficiency in programming languages such as Python, R, or SQL.
Solid understanding of statistics, probability, and machine learning algorithms.
Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
Experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn).
Familiarity with big data frameworks and cloud platforms (e.g., Hadoop, Spark, AWS, Google Cloud Platform, Azure).
Strong problem-solving skills and ability to work with large datasets.
Excellent communication and presentation skills.

Preferred Qualifications

PhD in a relevant field is a plus.
Experience with NLP, computer vision, or deep learning applications.
Knowledge of MLOps and model deployment pipelines.
Exposure to time-series analysis, recommendation systems, or anomaly detection.

Soft Skills

Analytical mindset with attention to detail.
Strong business acumen and curiosity to explore data.
Ability to work independently and collaboratively in a team environment.
Adaptability to fast-paced and dynamic environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.