Data Scientist, Marketing

Responsibilities

• Assist in the collection, cleaning, and preprocessing of large and complex datasets from various sources.
• Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights in the data.
• Apply statistical techniques and machine learning algorithms to build predictive models, perform classification, clustering, and other data analysis tasks.
• Develop and validate machine learning models, including supervised and unsupervised, ensemble methods, and time‑series models.
• Collaborate with other data scientists and team members to define project requirements and objectives.
• Communicate findings and insights effectively through visualizations, reports, and presentations.
• Stay current with advancements in data science, machine learning, and related technologies.
• Document code, methodologies, and results clearly and concisely.
• Participate in deployment and monitoring of data science models and solutions.
• Contribute to development of data‑driven products and features.
• Assist in evaluating new data sources and technologies.
• Independently plan and execute work across multiple projects and stakeholders.

• Education
  :
  Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline.
• Experience
  : 3+ years of relevant experience in data analysis, statistical modeling, or machine learning.
• Skills
  :
  • Strong understanding of statistical concepts, probability theory, and experimental design.
  • Familiarity with machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction).
  • Proficiency in at least one programming language used in data science (Python, R).
  • Experience with data manipulation and analysis libraries (Pandas, Num Py, Sci Py in Python; dplyr, tidyr in R).
  • Experience with data visualization libraries (Matplotlib, Seaborn, Plotly in Python; ggplot2 in R).
  • Basic database and SQL knowledge.
  • Strong analytical and problem‑solving skills with the ability to work with imperfect data.
  • Excellent written and verbal communication skills, with ability to explain technical concepts to non‑technical audiences.
  • Capacity to work independently and collaboratively within a team.
  • Strong desire to learn and grow in data science.
• Preferred
  :
  • Experience with cloud computing platforms (AWS, Azure, GCP).
  • Familiarity with big data technologies (Spark, Hadoop).
  • Experience with version control systems (Git).
  • Knowledge of specific industry domains relevant to the company.
  • Experience deploying machine learning models into production.

The physical demands are representative of those that must be met by an employee to perform the essential function of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Incumbent may need to occasionally move up to 10 pounds and may sit for long periods while using office equipment. The job may involve repetitive motions and requires near‑range visual acuity for detailed tasks.

Base Pay Range: $103,500 – $134,600 per year (actual pay may vary by location, experience, and performance).

No sponsorship or OPT available. This company is a Drug‑Free workplace. Confidentiality laws and equal‑opportunity statements apply. This position is open to qualified applicants regardless of disability status.