15 of 15 Statsmodels Jobs

SQL languages, but will also consider R language or similar languages Experience with popular machine learning or statistical modeling packages such as scikit-learn, tensorflow, keras, pytorch, scipy, numpy, statsmodels or their equivalent packages in R Strong analytical skills with high attention to detail and accuracy Excellent verbal, written, and interpersonal communication skills along with solid deck or demo presentation More ❯

and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex findings in a clear, business-relevant way. Experience working collaboratively in agile, cross-functional teams. Please note: Unfortunately this role More ❯

and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex findings in a clear, business-relevant way. Experience working collaboratively in agile, cross-functional teams. Please note: Unfortunately this role More ❯

with the judgment to balance rigorous modelling with real-world commercial decision-making. In addition, we’re looking for someone who can demonstrate: Hands-on expertise in Python (pandas, statsmodels, scikit-learn) and SQL, with the ability to manipulate, analyse, and model very large datasets. Solid experience applying a range of regression and econometric methods, from OLS and elasticity modelling More ❯

marketing, finance, engineering, or analytics organization Experience with data querying and manipulation using Python, SQL, or R Experience with data analysis and statistical modeling using packages such as Pandas, statsmodels , scikit-learn, tinygrad , or similar Communication and presentation skills Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance Bachelor's degree in Computer Science More ❯

health plans; experience with claims and clinical data strongly preferred). Deep expertise in statistical modeling, causal inference, and ML (Python, SQL, and related libraries such as scikit-learn, statsmodels, PyTorch, or similar). Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets like ICD, CPT, HCPCS) Experience building production-grade models and deploying them in More ❯

in time series forecasting (ARIMA, SARIMA, Prophet, Holt-Winters) and ML-based prediction (e.g., XGBoost, LightGBM). Strong programming skills in Python and/or R; experience with pandas, statsmodels, scikit-learn, or similar libraries. Excellent SQL skills and experience working with large-scale datasets and data warehouses (Snowflake, Redshift, BigQuery). Ability to communicate complex models and results clearly More ❯

causal inference and experimental design techniques. Requirements 5+ years of experience in data science. Strong knowledge of statistical testing, experimental design, and regression modeling. Proficiency in Python (NumPy, Pandas, Statsmodels, etc.); experience adapting R-based packages is a plus. Familiarity with marketing analytics concepts such as campaign allocation and budget optimization. Ability to translate complex statistical methodologies into actionable insights. More ❯

Proficiency in Python and in-depth understanding of SQL Competent in machine learning principles and techniques Experience in python, using industry standard modeling toolkits like sklearn, jupyterlab, pandas, matplotlib, statsmodels, etc. Experience in writing complex SQL queries and the ability to put together multiple data sources together Ability to get the train data, train the model, do hyper parameter tuning More ❯

Proficiency in Python and in-depth understanding of SQL Competent in machine learning principles and techniques Experience in python, using industry standard modeling toolkits like sklearn, jupyterlab, pandas, matplotlib, statsmodels, etc. Experience in writing complex SQL queries and the ability to put together multiple data sources together Ability to get the train data, train the model, do hyper parameter tuning More ❯

Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that unravel the stories More ❯

Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that unravel the stories More ❯

skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.). Experience designing and analyzing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference. Experience building dashboards and visualizations (Looker, Tableau More ❯

datasets. Desirable Experience & Skills: Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of Python and core libraries applicable to data science (eg, pandas, numpy, statsmodels) Hybrid - 3 days from the client's office. More ❯

At TreviPay, we believe loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to provide choice and convenience to buyers, open new markets and automate accounts receivables. With integrations to top eCommerce and More ❯