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Technical Skills: Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik). You will join the global Data Science capability at Sia Partners, consisting of 300+ Data Scientists located across Europe, North America, and Asia. You will be part of the growing US Data Science team, focusing on marketing analytics for various sectors including luxury, energy, FMCG, banking, and insurance.
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Education: Bachelor's degree in Molecular Biology, Biology, Chemistry, Applied Mathematics, Physics, Electrical Engineering, Computational Biology, Biostatistics, Bioinformatics, Computer Science or related discipline; postgraduate degree (Master's, PhD) is highly preferred.
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A bachelor's degree or master's degree with 3 years of experience in a related field such as computer science, molecular biology, biochemistry, genetics, genomics, or chemistry. Conduct exploratory data analysis in python and Databricks in order to answer questions from internal stakeholders.
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This is a significant leadership opportunity to advance ERW science, scale CDR and drive sustainable agriculture practices that positively impact local farming communities. This role requires a deep understanding of geochemistry, soil science, and carbon removal processes, as well as the ability to translate scientific insights into scalable, practical applications.
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As a Data Science Senior Manager at TRM, you'll assume full responsibility for developing custom models, algorithms, and data products integral to enhancing TRM's UX. Working closely with a skilled team of engineers, data scientists, and research scientists, your objective will be to unearth valuable and defensible insights essential for detecting, preventing, and mitigating cryptocurrency fraud and financial crime.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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Use software such as SQL, R, Stata, SAS, Python, or Snowflake. , R, Stata, SAS, Python, SPSS) is desirable but not required. QualificationsMaster’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields.
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Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploys predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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Strong programming skills in Python, R, or other relevant languages. Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Experience with R, Stata, MATLAB, or Python; other computer programming experience a plus. Six of those RAs were awarded National Science Foundation Fellowships. Since 2020, our Research Associates have joined PhD programs at MIT, Princeton, Stanford, Michigan, NYU, Boston University, Maryland, UT Austin, UCLA, UC San Diego, UC Davis, and UC Irvine.
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Performing predictive modeling using Generalized Linear Models & non-linear methods using mostly the SAS & R software platforms supporting rate analyses. SAS, R or SQL programming experience required, proficiency preferred.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
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In this role, you will contribute to the manufacturing of chromatography resins, liquid buffers, monomer solutions, oils, and other life science products. Responsibilities may include weighing, measuring, mixing, monitoring, and adjusting chemical materials while operating large-scale reactors and equipment used in the production of life science research products.
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Strong programming skills in Python, R, and JavaScript, with experience in Ruby and R-Shiny as a plus. Skilled in machine learning libraries (Scikit-learn, TensorFlow API) and data visualization tools (Power BI, Tableau, R-Shiny.
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Expertise in programming/scripting languages (e.g. SQL, Python, R), statistical and analytical models and applications. We are seeking a highly skilled Director of Data Science & Analytics to shape our company's data-driven decision-making.
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