1 to 5 of 5 Applied Mathematics Jobs with Remote Work Options

with Agile or Waterfall methodologies. Experience building scalable data products for a range of users in technology (e.g Big data). Experience using applied maths, statistics and scientific practices. Experience developing data science capabilities. Data engineering and manipulation. If this sounds like the role for you, please get more »

Hands-on experience in preparation of data, cleaning and transforming it for downstream data science tasks Strong problem-solving skills which can be applied to client challenges and resolving issues that arise from implementation of data science solutions Strong verbal and written communication skills with the ability to … passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale more »

distributed systems such as Spark Experience supporting and working with cross-functional teams in a dynamic environment. Degree/MSc in Applied Mathematics, Computer Science or equivalent Experience in the energy industry from the supply or trading side is desired but not required Skills required: Natural curiosity more »

facing teams Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability 5+ years of experience in … catastrophe risk Modeling, Applied Statistics, Probability theory, Monte Carlo methods for uncertainty quantification and propagation, GLMs applications, feature engineering, data visualization, and hypotheses testing True passion for leading, inspiring, mentoring, and attracting world-class colleagues Experience working with different types of datasets (e.g., unstructured, semi-structured, with missing more »

features to continuously improve customer satisfaction. Lead Hardware IOT Product manager Responsibilities Qualifications Bachelor's or Master's degree in Computer Science, Physics, Applied Maths, Engineering, or related technical field. Proven track record of 5+ years in technical product management roles, preferably in hardware or IoT industries. Preferably more »