ReviewTrackers empowers businesses to understand their customers better through advanced review and customer feedback technology. ReviewTrackers software business solutions allow for analyzing, amplifying, and maximizing customer feedback to accelerate customer acquisition and improve customer retention while driving more authentic connections with customers. At ReviewTrackers, we cultivate an inclusive, dynamic, fun, and communicative team environment. We value crafting a team that has a diverse set of backgrounds and respects a healthy expression of diverse opinions. We work to inspire our team to experiment with new ideas while collaborating and communicating with one another to find solutions! ReviewTrackers is currently looking for a passionate, self-motivated, and collaborative Jr. Data Scientist to join our Product and Engineering Team. Our Data Scientist will be working on our sentiment analysis and KW extraction models as well as creating new ones as we continue to grow our product. This position has the opportunity to grow into a team leadership role as the team expands in 2022. Remote. #LI-remote #BI-Remote How you will make an impact: You will directly influence our product and provide recommendations for internal decision-making through the use of statistical analysis and predictive modelingYou will help develop and maintain a robust analytics codebase that will provide insights to both internal and external stakeholders.You will get the opportunity to test, validate, and improve upon existing and future machine learning models in both an experimental and production setting. What you will bring to the table: 6+ months professional experience using Python for large scale data processing and analysis (internship experience is sufficient)Experience building model prototypes and designing experiments to validate technical ideas6+ months years experience with SQL and querying across multiple relational databases (we use Postgres) Strong communication skills with the ability to break down complex ideas to a non-technical audienceThe motivation to learn new skills while contributing impactful work, an inquisitive mindset, and a strong desire solve open-ended problems. Nice to have:Experience working on an agile software engineering team and working directly with Product Management teamsFamiliarity with NLP concepts for both representing and modeling text data (i.e text classification and/or sentiment analysis)Experience with data visualization tools like Matplotlib, Looker, etcExperience with applying statistical methods to extract actionable insights. Who you will be working with: You will be reporting to the Senior NLP Data Scientist, and will be meeting weekly to develop a clear and defined promotional path.You will be working in our engineering organization of roughly 20 engineers, and on a team of 4 engineers, a product manager QA and product designerYou will be working with the product team to POC product ideas collected from all ReviewTrackers employees Perks and Benefits at ReviewTrackers: 100% company-paid premiums for health, dental, vision, life, short-term disability, and long-term disability insuranceBlueCross BlueShield healthcare benefits are available for families. Flexible PTO policyCompany-sponsored 401K matching at 3%FSA or HSA benefits are availablePre-taxed transit benefitsDiversity & Inclusion Culture Group and company-wide training(s)Volunteer & Fundraising initiativesMonthly All-Hands meeting with all ReviewTrackers departments to discuss what each team is working on and reiterate its missionCompany Kindle, along with unlimited books of your choiceStocked Kitchen with snacks and drinks (if you would like to work in the office, not required)Monthly ‘Take Your Coworker to Lunch’ paid for by ReviewTrackers (when we’re back in the office)$1500/yr education budgetReviewTrackers provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.