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As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Responsibilities:
Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning.
Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers.
Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products.
Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.
Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
Collaborate, coach, and learn with a growing team of experienced Data Scientists.
Stay connected with external sources of ideas through conferences and community engagements
Role Requirements:
Bachelors Degree in Data Science, Computer Science, or related field
5+ years of Data Science and Machine Learning experience required.
Proficiency in Python or R. Ability to write complex SQL queries
Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.
Ability to implement ML best practices for the entire Data Science lifecycle
Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.)
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
Bias for action, with the ability to deliver outstanding results through task prioritization and time management
Experience with data visualization tools — Tableau, R Shiny, etc. preferred
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You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.</span></span></span><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></p><p style=\"margin: 0px 0px 1em; padding: 0px; border: 0px; font-stretch: inherit; line-height: 1.5; vertical-align: baseline; text-align: justify\" class=\"align-justify\"><span class=\"colour\" style=\"\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"><b>Key Responsibilities:</b></span></span></span><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"><b><br /></b></span></span></p><ul><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.<br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Effectively communicate the analytics approach and how it will meet and address objectives to business partners.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Collaborate, coach, and learn with a growing team of experienced Data Scientists.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Stay connected with external sources of ideas through conferences and community engagements</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li></ul></div></div><div style=\"margin: 0px 0px 40px; padding: 0px; border: 0px; font-stretch: inherit; line-height: inherit; vertical-align: baseline; orphans: 2; text-indent: 0px; widows: 2\" class=\"job-preview-styles__requirements--2kg4_\"><h4 style=\"margin: 0px 0px 8px; padding: 0px; border: 0px; font-stretch: inherit; line-height: normal; vertical-align: baseline; text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Role Requirements:</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></h4><div style=\"margin: 0px 0px 1em; padding: 0px; border: 0px; font-stretch: inherit; line-height: 1.5; vertical-align: baseline\"><ul><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Bachelors Degree in Data Science, Computer Science, or related field</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">5+ years of Data Science and Machine Learning experience required.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Proficiency in Python or R. Ability to write complex SQL queries</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Ability to implement ML best practices for the entire Data Science lifecycle</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.)</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Exceptional communication and collaboration skills to understand business partner needs and deliver solutions</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Bias for action, with the ability to deliver outstanding results through task prioritization and time management</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li class=\"align-justify\" style=\"text-align: justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Experience with data visualization tools — Tableau, R Shiny, etc. preferred</span></span><br /></li></ul></div></div><div><br /></div></span><br />","isHybridJob":false,"isRemoteJob":true,"noOfOpenings":1,"maxExperience":"7","minExperience":"5","isOnPremiseJob":false,"onBehalfOfName":"Tiger Analytics","otherlocations":[],"zohoCurrencyIn":"USD","experienceLevel":"Associate / Junior","zohoNoOfOpenings":{"noOfOpenings":1,"fulfillmentIds":["557706000009903071-1"]},"otherJobReference":null,"sharpenedJobTitle":"Data Scientist","job_category_group":3,"portalLocationDisplay":"Arlington VA","expertise_coreskill_or_product":["Other"],"job_id":"2462"}
