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Requirements: Requires a Bachelor's degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional.
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Therefore, relevant fields of research include, but are not limited to, mucosal immunology, microbiology, developmental or epithelial biology, computational biology, genomics, epidemiology, and data science.
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Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.
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Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.
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The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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A University/Bachelor's Degree, STEM, Economics, Data Science or Analytics preferred. 10-12+ years of experience in analytics, data science, and development of complex pricing models.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Integrating innovative approaches in individual and team work products such as machine learning, artificial intelligence, data mining, predictive modeling, neural networks and simulation to mitigate price/value leakage across the pursuit and delivery phases of an engagement.
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Enhancing data handling, data hygiene, data cleaning and data modeling methods to connect structured and unstructured data using Python, R, Power Platform, SharePoint and Excel to uncover market performance improvement opportunities.
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Master's degree in a quant-based field e.g., Analytics, Mathematics, Economics, Computer Science or similar technical disciplines or equivalent practical experience. Designing and developing the data engineering strategy to allow for a scalable and reliable data architecture supporting multiple platforms and considering data ingestion, transformation, and storage; supported with detailed documentation and maintenance of processes, methods and procedures including Python and SQL codes.
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Managing a team of business intelligence and data analytics professionals consistently delivering innovative and timely insights adept at using storytelling to influence without authority. Lead with curiosity and embrace a quantitative-led, hypothesis-driven approach to understanding and synthesizing disparate and/or ambiguous data/intelligence/observations in developing the recommended sales/price/solution insight and recommendation.
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data science jobs Title: data engineer Company: Salesforce
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