Senior Data Scientist- R
Job Location:
Monthly Salary:
Posted on:
24 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Scientist
Primary Skills
- Classification (Decision Trees SVM) Distance (Hamming Distance Euclidean Distance Manhattan Distance) Forecasting (Exponential Smoothing ARIMA ARIMAX) Great Expectation Evidently AI Hypothesis Testing ML Frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) Probabilistic Graph Models Python/PySpark R/ R Studio Regression (Linear Logistic) SAS/SPSS Statistical analysis and computing Tools(KubeFlow BentoML) T-Test Z-Test
Specialization
- Data Science Advanced: Data Specialist
Job requirements
- Major Duties & Responsibilities Create Proof of concepts (POCs) / Minimum Viable Products (MVPs) then guide them through to production deployment and operationalization of projects Influence machine learning strategy for Digital programs and projects Make solution recommendations that appropriately balance speed to market and analytical soundness Explore design options to assess efficiency and impact develop approaches to improve robustness and rigor Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g. Python R TensorFlow) Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. Design adapt and visualize solutions based on evolving requirements and communicate them through presentations scenarios and stories. Create algorithms to extract information from large multiparametric data sets. Deploy algorithms to production to identify actionable insights from large databases. Compare results from various methodologies and recommend optimal techniques. Design adapt and visualize solutions based on evolving requirements and communicate them through presentations scenarios and stories. Develop and embed automated processes for predictive model validation deployment and implementation Work on multiple pillars of AI including cognitive engineering conversational bots and data science Ensure that solutions exhibit high levels of performance security scalability maintainability repeatability appropriate reusability and reliability upon deployment Provide guidance and leadership to more junior data scientists managing processes and flow of work vetting designs and mentoring team members to realize their full potential Lead discussions at peer review and use interpersonal skills to positively influence decision making Provide thought leadership and subject matter expertise in machine learning techniques tools and concepts; make impactful contributions to internal discussions on emerging practices Facilitate cross-geography sharing of new ideas learnings and best-practices Required Qualifications 7 years of work experience as a Data Scientist Advanced skills with statistical/programming software (e.g. R Python) and data querying languages (e.g. SQL Hadoop/Hive Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code tests documentation Experience with Microsoft Azure or AWS data management tools such as Azure Data factory data lake Azure ML Synapse Databricks Understanding of descriptive and exploratory statistics predictive modelling evaluation metrics decision trees machine learning algorithms optimization & forecasting techniques and / or deep learning methodologies Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process Ability to lead manage build and deliver customer business results through data scientists or professional services team Ability to share ideas in a compelling manner to clearly summarize and communicate data analysis assumptions and results Preferred Qualifications Experience working in one or multiple supply chain functions (e.g. procurement planning manufacturing quality logistics) is strongly preferred Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred Exposure to Pyomo Mosel truck load optimization multi-echelon inventory optimization (MEIO) Experience in NLP Vision and/or AR / VR Experience in creating CI/CD pipelines for deployment using Jenkins. Experience implementing MLOPs framework along with understanding of data security implementation on ML models Hands on experience developing ML driven models
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
