Data Scientist

Job Title:

Data Scientist

Job Summary:

We are seeking a talented and innovative Data Scientist to drive data-driven decision-making and deliver actionable insights through advanced analytics and machine learning. You will work with large datasets, develop predictive models, and collaborate with cross-functional teams to create impactful solutions that align with business goals.

Key Responsibilities:

• Data Exploration and Analysis:
• Collect, clean, and preprocess data from various sources for analysis.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and anomalies.
• Model Development:
• Design and implement machine learning models for classification, regression, clustering, and other tasks.
• Develop and validate predictive models to support business strategies.
• Data Visualization and Communication:
• Create clear and compelling visualizations to communicate findings using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).
• Present insights and recommendations to technical and non-technical stakeholders.
• Research and Innovation:
• Stay updated with the latest advancements in data science, AI, and machine learning.
• Experiment with new algorithms and methodologies to improve model performance.
• Collaboration:
• Work closely with data engineers to build and maintain data pipelines and infrastructure.
• Collaborate with business units to understand their objectives and translate them into data-driven solutions.
• Deployment and Monitoring:
• Deploy machine learning models into production environments.
• Monitor and evaluate model performance, retraining as necessary to ensure accuracy and relevance.

Qualifications:

Essential:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong programming skills in Python, R, or Java.
• Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with big data tools and platforms (e.g., Hadoop, Spark, AWS, GCP).
• Expertise in SQL for data manipulation and querying.
• Solid understanding of statistics, probability, and data modeling techniques.

Preferred:

• Experience with deep learning, NLP, or computer vision techniques.
• Familiarity with MLOps tools for model lifecycle management.
• Knowledge of data warehousing and ETL processes.
• Certifications in data science, machine learning, or related tools (e.g., AWS Certified Machine Learning).

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.
• Strong communication skills to convey complex data concepts in a simple manner.
• Ability to work independently and collaboratively in a team environment.
• Attention to detail and commitment to delivering high-quality work.

Benefits:

• Competitive salary and bonus structure.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and training.
• Flexible work arrangements, including remote options.

Job Type: Full-time

Pay: $98,627.00 - $108,542.00 per year

Schedule:

• 8 hour shift
• Monday to Friday

Work Location: In person

Salary : $98,627 - $108,542