Junior Data Scientist

About the job

Job Details 1 hour ago Full Job Description Interos, founded by Jennifer Bisceglie, is one of the most transformative technologically advanced platforms that powers the global economy supply chain. By using ML and big data, Interos aspires to dynamically and continuously map all of a company’s business relationships to multiple tiers of dependency on a global scale and endeavors to help customers understand risk in their multi-tier, global supply chains. The scope of this value proposition extends across a variety of different technology sectors including risk management, supply chain intelligence, financial intelligence and cyber-security. Interos has raised funding from two extraordinary venture capital firms: Venrock, led by Nick Beim, and Kleiner Perkins, led by Ted Schlein. We have doubled in size in 2020 and are planning a similar trajectory in 2021. Our offices are headquartered in Arlington, VA, we have presence in Menlo Park, CA and are hiring across the nation for remote team members. We need an extraordinary team member who thrives as part of a fast-paced team and takes pride in their ability to succeed while delivering value to our customers. Be challenged by innovation and grow professionally by solving one of the most interesting challenges impacting businesses across the globe. The Opportunity: We are looking for a Junior Data Scientist with exceptional product sense to develop machine learning and deep learning models and algorithms that create unique insight for customers. The ideal candidate should be someone who can automate scoring using machine learning techniques, build recommendation systems, and select the correct data points for analysis from the large open source and proprietary data sets. The ideal candidate must have strong experience using a variety of data mining/data analysis methods and tools. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of a product. Key Responsibilities: Analyzing large data sets to identify actionable insights Designing and deploying deep learning algorithms and predictive models Developing custom data models and algorithms to to data sets Assessing the effectiveness and accuracy of new data sources and data gathering techniques Developing processes and tools to monitor and analyze model performance and data accuracy Qualifications: Bachelor’s or Master’s Degree in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related areas 1-3 years of hands on professional or internship experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering Experience in productization of machine learning algorithms and the ability to deliver data science components that are part of successful commercial products At a minimum a working knowledge of NLP, Graph Theory, and Network Analysis Fluency in one or more programming languages (Python, Java, R, etc.) Experience with statistical data analysis, experimental design, and hypotheses validation Readiness to collaborate with engineering teams to develop prototypes and software products BENEFITS: Comprehensive Health & Wellness package (Medical, Dental and Vision) 10 Paid Holiday Days Off Flexible Paid Time Off (PTO) 401 (k) Employer Matching Stock Options Career advancement opportunities Casual Dress Hackathons On-site gym and dedicated Peloton room at headquarters Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours) Annual company party Employee Referral Program Interos is proud to be an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, disability, protected veteran status or any other classification protected by law. If you are a candidate in need of assistance or accommodation in the application process, please contact

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