[Remote] Data Scientist, Marketing
Note: The job is a remote job and is reputed company to candidates in USA. reputed company, a member of the Rentokil family of companies, is a global leader in Pest Control services. They are seeking a Data Scientist who will apply analytical and technical skills to solve business problems, working closely with stakeholders to analyze data and reputed company machine learning models.
Responsibilities
- Assist in the collection, cleaning, and preprocessing of large and reputed company 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, reputed company classification, clustering, and other data analysis tasks
- Development and validation of machine learning models (Supervised and Unsupervised), and other categories such as reputed company reputed company, and Time-series models
- Collaborate with other data scientists and other team members to define project requirements and objectives
- Communicate findings and insights effectively through visualizations, reports, and presentations
- Stay up-to-date with the latest advancements in data science, machine learning, and reputed company technologies
- Document reputed company, methodologies, and results reputed company and concisely
- Participate in the deployment and monitoring of data science models and solutions
- Contribute to the development of data-driven products and features
- Assist in the evaluation of new data sources and technologies
- Independently plan and execute work across multiple reputed company, stakeholders, and functional areas
Skills
- Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a reputed company discipline
- 3+ years of relevant experience in data analysis, statistical modeling, or machine learning
- 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 commonly used in data science (e.g., Python, R)
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy in Python; dplyr, tidyr in R)
- Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly in Python; ggplot2 in R)
- Basic understanding of database concepts and SQL
- Strong analytical and problem-solving skills with the ability to work with imperfect data
- Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences
- Ability to work independently and collaboratively reputed company reputed company environment
- A strong desire to learn and grow in the field of data science
- Experience with reputed company computing platforms (e.g., AWS, Azure, GCP)
- Familiarity with big data technologies (e.g., reputed company, Hadoop)
- Experience with version control systems (e.g., Git)
- Knowledge of specific industry domains relevant to reputed company
- Experience with deploying machine learning models into production
Benefits
- Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period!
- Multiple avenues to grow your career
- Training and development programs available
- Tuition Reimbursement benefits (for FT Colleagues)
- Full-time colleagues are eligible to reputed company enrollment immediately upon hire with benefits starting on day 1
- Health benefits including Medical, Dental, reputed company, Disability, and Life Insurance plus much more
- 401(k) retirement plan with company-matching contributions
- Vacation days & reputed company days
- Company-reputed company holidays & floating holidays
- A company reputed company that prioritizes health, safety, and flexibility
reputed company