Data Scientist (remote)

Who We AreGuided by our Core Values, deepwatch is securing the digital economy by tenaciously protecting enterprise networks - everywhere, everyday. Our team, many of the most technically astute minds in cybersecurity, serves an impressive list of Fortune 500/Global 2000 companies. Our success is driven by our unique IP, Cloud SecOps platform and strategic partnerships with industry leading technology vendors. deepwatch is:CISO Choice Awards: MSSP Winner 2020Great Place to Work® Certified 2020Goldman Sachs portfolio company: $53m Series B investment 2020Splunk Partner: #1 Volume MDR/MSSP - Splunk Managed SIEMForrester: Top 10 MDRWhat We Dodeepwatch's innovative cloud platform and borderless SOC extends our customers' cybersecurity teams and proactively protects their brand, reputation and digital assets. Our powerful analytics platform analyzes billions of events each month and is trusted by hundreds of leading global organizations to provide 24/7/365 managed security services. We have developed some of the coolest, most innovative IP in the industry and we're expanding our platform by investing extensively in research and development.What We OfferWellnessChoice of medical, dental and vision plans with deepwatch paying 100% of premium for HDHP medical and dental along with a very generous portion for dependentsFSA (Medical and Dependent) and HSA with employer contributionCompany paid Life Insurance, Short Term Disability and Long Term DisabilityGenerous Paid Time Off, 8 company holidays, 2 floating holidaysWellness ProgramsRemote WorkforceFinancialStock Options: All full time employees are awarded stock options401k with company matchGenerous mobile phone and home internet allowanceReferral Bonus and recognition programs for exhibiting our Core ValuesProfessional developmentMentoring ProgramLimitless career progression and commitment to promoting from withinUp to $6K annually per employee for Professional DevelopmentGiving BackCompany-wide initiatives, such as supporting time off for Community ServiceVoting LeaveSocialEmployee Affinity Groups: Supportive internal networks like Women of deepwatchdw Swagger: annual credit to the deepwatch Swag Store to show your dw prideHaving a blast! Monthly All Hands and Ask Me Anything calls, interactive wellness programs, social events, cross functional initiatives, annual Company Kick Off event, and department offsite meetings to name a fewData ScientistThe mission of the deepwatch Security Research team is to tease from massive data sets security outcomes that provide actionable security details to customers. Data Scientists at deepwatch will analyze terabytes of data with the objective of squeezing out as much security value for our customers as possible. deepwatch will use the techniques developed by the Data Science team to automate delivering outcomes before our Analyst teams engage. We are seeking those who want to use their data science skills to help deepwatch identify threats in traditional digital threat vectors as well as cutting edge technology stacks such as Cloud Native (Azure, AWS, GCP), Internet of Things (IoT), and Serverless applications!Position ResponsibilitiesSolving difficult data problems while embracing cyber security challenges with open arms Gathering and processing data at scale, writing scripts and queries, and building and calling APIsVisualize threat signal data and uncover how bad actors use security vulnerabilities, malware, and patterns to spread across networks and drive analytic development to build libraries for persistent detection Drive the development of Machine Learning use cases to detect malicious activity in customer environments with regular content updatesProvide documentation to Threat Hunt, Research and Analyst teams around data analytics and mathematical decisions, with actionable workflows for threat investigation of ML alertsEnsure data quality and normalization throughout all stages of acquisition and processing Clean, analyze and select data to achieve goals that create desired security outcomes for deepwatch customers Build models that elevate the customer experience and track value of security outcomes for deepwatch customers over timeCollaborate with colleagues from Product, Delivery, Content, and Threat Hunting teams Present proposals and results in a clear manner backed by data and coupled with actionable conclusions that drive analytics, content libraries, and automation outcomes Work with engineers to develop efficient data analysis and data modeling infrastructureTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.RequirementsRequired Experience, Skills and KnowledgeBachelor's Degree with an emphasis in Data Science or related field such as Mathematics or Computer Science2+ years-experience with various data analysis and visualization tools AWS/Azure/Google Cloud data engineering experienceProficiency in Python or other programming / scripting languagesExperience with various machine learning techniques and parameters that affect technique/model outputs and performanceDeep understanding of machine learning techniques and algorithms such as Random Forests, Gradient Boosting, Ridge/Lasso, SVM, time series techniques, etc.Exceptional numerical and statistical ability, with excitement for applying analytics to client challenges and significant experience using analytic / database software and languages such as SQL, R, Python, etc.Experience with analytics programming languages (Python, Ruby, Shell) and automation tools (Ansible, Chef, Puppet etc.)Familiar with LeSS Methodology, or system decomposition and work task organization, as used in Agile methodologyExperience with task tracking (e.g., JIRA, Github, or Trello)Ability to work independently or as part of a group effort, as requiredExemplified critical thinking and creative problem solving skills Competency with common data science toolkits, such as tensorflow, NumPy, pandas, sparkML, scikitLearn, etc.Capable of leading and executing on data acquisition, cleansing, and storage for individual initiativesWilling to tackle big problems that have unknown solutions at the outsetStrong oral and written communication skills, including the ability to communicate effectively to non-technical audiences Team player with a passion for coaching colleagues and customers in the areas of data scienceAbility to pass a pre-employment background and drug screen in accordance with applicable lawsPreferred Experience, Skills and KnowledgeMaster's degree or PhD in a relevant field such as computer science, mathematics, or data scienceKnowledge of the AWS ETL and Machine Learning stack (S3, Glue, Athena, Sagemaker, Jupyter Notebooks)History of diving into data to discover hidden patterns and of conducting error/deviation analysisAbility to develop both experimental and analytical plans for data modeling processes, use of scaling baselines (trends)Strong ability to accurately determine cause and effect relationshipsUnderstands relevant statistical measures such as mathematical modeling, confidence intervals, significance of error measurements, development and evaluation data setsAn ability to work successfully across a globally distributed team and geographical boundaries to deliver joint initiativesColorado Candidates:Minimum salary of one hundred fifty two thousand dollars + stock options + benefits. Actual compensation may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level.*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when working remotely from the state of Colorado.Equal Opportunity Employer deepwatch is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, marital status, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.