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\nDescription & Responsibilities \n\n\n* Work with a motivated team in an innovative Spatial Analytics startup to build data Science, Analytics, and Machine Learning practice\n\n* You will advocate, evangelize and build data-fuelled products that help our customers gain true scientifically driven insights.\n\n* You’ll dig in and become an expert on our datasets.\n\n* You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.\n\n* You will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.\n\n* You will lead applied analytics and science initiatives that are leveraged across the breadth of our solutions.. You will research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.\n\n* As our data scientist, you will provide expertise on science & mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization.\n\n\n\n\nQualifications\n\n\n* Masters or PhD in Computer Science, Machine Learning, Data Science, Engineering, Statistics, Mathematics or related field.\n\n* 4+ years relevant experience with a proven track record of leveraging analytics and large amounts of data to drive significant business impact.\n\n* Expertise in machine learning, predictive analytics, statistical modeling, and data algorithms. Must have knowledge/experience in methodologies and algorithms including: Multivariate Regression, Logistic Regression, Support Vector Machines, Bagging, Boosting, Decision Trees, Lifetime Analysis, Clustering, Mathematical Optimization, Random Forest/Ensemble Learning, Deep Learning Algorithms and Stochastic Processes.\n\n* Strong algorithmic thinking and independent research ability.\n\n* Passion for learning and innovating new methodologies at the intersection of applied math/statistics/computer science.\n\n* Exceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of business partners.\n\n* High-energy self-starter with a passion for your work, attention to detail, and a positive attitude.\n\n* Proficiency in at least one statistical analysis tool such as R, SAS, and/or Weka.\n\n* Strong SQL and deep understanding of Data-at-rest and data-at-transit & other lifecycle points of data\n\n* Experience with distributed computing, databases and query languages like Hadoop/YARN, Spark, Cassandra/NoSql Databases, Graph Databases, Hive/Pig and/or general map reduce computing.\n\n* Experience with RDBMS systems such-as Sql Server, Oracle, Postgres, MySql\n\n* Knowledge of common data structures and ability to write efficient code in at least one language is a plus (preferably Java, Scala, GO, Python).\n\n* Experience in Financial, Retail, Spatial Analytics, Mapping, Location Based Services & GIS and like data and/or industries a Strong Plus\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science and Data Science jobs that are similar:\n\n
$80,000 — $125,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.