Data Scientist, Marketing

Job not on LinkedIn

🔥 18 hours ago

🎸 Tennessee – Remote

🎸 Tennessee – Remote

💵 $103.5k - $134.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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TerminixSIS India

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1927

🤝 B2B

🏢 Enterprise

📋 Compliance

B2B • Enterprise • Compliance

TerminixSIS India is a leading pest management company operating in India. Part of the SIS Group, it offers a wide range of innovative pest control solutions, including termite treatment and extensive pest management for various industries such as food processing, healthcare, hospitality, and more. With a legacy of over 90 years in the pest control domain, TerminixSIS is known for its environmentally friendly and government-approved pest management practices. They provide tailored solutions to meet specific customer needs across over 250 cities, ensuring compliant and effective pest eradication, supported by trained professionals and a robust infrastructure capable of executing over 100,000 services monthly. TerminixSIS is a member of the Indian Green Building Council and adheres to several audit standards like FSSAI, HACCP, and ISO.

📋 Description

• Apply analytical and technical skills to solve real-world business problems. • Work closely with stakeholders to collect, clean, analyze, and interpret data. • Contribute to the development and deployment of ML models and data-driven solutions. • 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. • Develop and validate machine learning models (Supervised and Unsupervised), and other categories such as 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 up-to-date with the latest advancements in data science, machine learning, and related technologies. • Document code, methodologies, and results clearly 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 projects, stakeholders, and functional areas.

🎯 Requirements

• Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related 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 within a team environment. • A strong desire to learn and grow in the field of data science. • Experience with cloud computing platforms (e.g., AWS, Azure, GCP). (preferred) • Familiarity with big data technologies (e.g., Spark, Hadoop). (preferred) • Experience with version control systems (e.g., Git). (preferred) • Knowledge of specific industry domains relevant to the company. (preferred) • Experience with deploying machine learning models into production. (preferred)

🏖️ Benefits

• Start Day 1 for Full-Time Colleagues - No Waiting Period! • Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more • 401(k) retirement plan with company-matching contributions • Vacation days & sick days • Company-paid holidays & floating holidays • Professional and Personal Growth • Multiple avenues to grow your career • Training and development programs available • Tuition Reimbursement benefits (for FT Colleagues)