Sr. Data Scientist

Lennox International
Richardson, TX, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Big Data Cluster Analysis Data Visualization Relational Databases R (Programming Language) Python (Programming Language) Linear Regression Machine Learning Power BI Software Engineering SQL Databases Tableau (Software)
+5 more
Unstructured Data Naive Bayes Spark Mllib Pyspark Qlikview

Job description

Experteer Overview As a Data Scientist at Lennox, you develop ML models and analytics that unlock business value. You partner with cross-functional teams to translate objectives into data-driven solutions and operate on large, complex datasets. You’ll tackle real-world problems, drive insights, and scale models in a collaborative, innovation-driven environment. This role offers the opportunity to influence multiple domains and contribute to Lennox’s data-driven culture and growth. Compensation / Benefits * Develop and deploy machine learning models and predictive analytics solutions * Build custom data models to solve business problems * Apply statistical techniques to generate actionable insights * Explore data to identify trends and new opportunities * Partner with stakeholders to translate business objectives into analytics initiatives * Collaborate across Sales, Marketing, Engineering, Supply Chain, and Finance datasets * Merge, manage, and analyze large datasets; monitor data quality and model performance * Present findings through clear visualizations to technical and non-technical audiences * Foster knowledge sharing, mentoring, and continuous improvement across the team Tasks * Bachelor in Data Science or related field with 5+ years of experience or Master in related field with 3+ years * Strong problem-solving with quantitative and qualitative methods * Proficiency in Python, R, SQL, PySpark or similar * Knowledge of ML techniques: clustering, decision trees, random forests, logistic/linear regression, gradient boosted trees, naive Bayes * Understanding of big data architectures and large-scale data processing * Experience with relational databases and large datasets * Strong communication to present findings to diverse audiences * Experience with Spark MLlib and solid software development skills * Basic understanding of unstructured data analysis * Experience with data visualization tools such as Tableau, Power BI, or Qlik Key requirements * tuition reimbursement * medical, dental, and vision insurance * prescription drug coverage * 401(k) retirement plan * short-term disability * 8 weeks paid birthing leave and 2 weeks paid bonding leave

Requirements

quality and model performance * Present findings through clear visualizations to technical and non-technical audiences * Foster knowledge sharing, mentoring, and continuous improvement across the team Tasks * Bachelor in Data Science or related field with 5+ years of experience or Master in related field with 3+ years * Strong problem-solving with quantitative and qualitative methods * Proficiency in Python, R, SQL, PySpark or similar * Knowledge of ML techniques: clustering, decision trees, random forests, logistic/linear regression, gradient boosted trees, naive Bayes * Understanding of big data architectures and large-scale data processing * Experience with relational databases and large datasets * Strong communication to present findings to diverse audiences * Experience with Spark MLlib and solid software development skills * Basic understanding of unstructured data analysis * Experience with data visualization tools such as Tableau, Power BI, or Qlik Key requirements * tuition aaa objectives * medical, dental, and vision insurance * prescription drug coverage * 401(k) retirement plan * short-term disability * 8 weeks paid birthing leave and 2 weeks paid bonding leave

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