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All Jobs1. Extract insights from structured/unstructured data for clients. 2. Build ML/AI pipelines/frameworks to predict performance for companies and markets. 3. Develop ML/AI solutions to discover relationships and structures among products, companies, and markets. 4. 3+ years of experience in ML and analytics projects with proficiency in Python and SQL. 5. Advanced degree in computer science, statistics, economics or other quantitative fields.
b'\n\t\t\tData Scientist\nat CB Insights\nRemote\nDevelop a state-of-the-art product. Make sense of the future. Use data to drive business.\nAt CB Insights we build products that help clients make sense of the future and drive their businesses forward using data. Our system retrieves large amounts of structured and unstructured data and uses scientific methods to extract knowledge and insights from that data. We present those analytics through a sophisticated, dynamic user interface which enables our clients to find answers to their most important questions.\nThe Role Youll Play:\nAs a Data Scientist at CB Insights, youll be part of a mission to build an accurate, robust, and scalable data intelligence machine that powers clients decision-making. Youll explore and work with large datasets and use a wide range of machine learning and quantitative techniques to build meaningful data products as well as foundational ML infrastructure.\nThis role calls for a versatile data scientist: 50% ML engineer, 30% data analysis, 15% prompt engineer, 5% data engineer. We expect end-to-end ownership from research and POC to productionization.\nAbout the team\nYou will be joining a high-impact R&D team with clear ownership and passion to form the future. The algorithms the team develops lead directly to new products and services we offer as a business. We want you to learn and understand the drivers of our business deeply and be able to explain your approach to your team and to others at the company.\nOur team values:\n\nstay curious try new things\nlong-term orientation\nbe bold & move fast\nmake data-informed decisions\nopenness, honesty, healthy conflicts\nrobust execution\n\nYour Main Tasks:\n\nResearch and build ML/AI pipelines to extract knowledge and insights from high-volume high-velocity contextual data\nResearch and implement quantitative frameworks to measure, evaluate, and predict performance and key attributes for companies and markets\nResearch and build ML/AI solutions to discover relationships and structures among products, companies and markets\nScout new data sources and derive new data products/features from them\nInitiate and engage in brainstorms, code reviews and deep dives with peer data scientist and engineers to maximize creativity, rigor and quality of solutions\nWork closely with Product and Design to find and validate the best fit solution for a customer problem; present to stakeholders and support key decision making\n\nWhat you bring to the table:\n\nAdvanced degree in computer science, statistics, economics or other quantitative fields\n3+ years of professional experience working on ML and analytics projects\nExperience training and fine-tuning conventional ML models and LLMs, deploying inference pipelines at scale\nKnowledgeable about statistical analysis and optimization\nProficiency in Python and SQL\nExcellent written and verbal communication skills\nExcellent problem solving and analytical skills\nExperience working with data warehouses Eg: Redshift and other similar database systems\n\nYoull be successful here if you are/have:\n\nProficiency developing in a Mac/Linux environment\nOwnership of problems end-to-end, and are willing to pick up whatever knowledge youre missing to get the job done\nLove for learning and experimentation\n\nPlease note this is a US-based role.\nIn addition to base salary, this role is also eligible for a bonus opportunity.\nA little bit about our pay practices: Typically, we will hire at our Hiring Target, but actual starting pay may be based on several factors, including, but not limited to, market rate, the qualified pool of candidates, internal compensation, candidate experience, and budgetary constraints.\nCompensation\n$108,000$137,750 USD\nWhat we\xe2\x80\x99re all about\nWe\xe2\x80\x99re on a mission to advance the technology economy \xe2\x80\x94 one driven by innovation, markets, and entrepreneurship. We believe a thriving technology economy powers a thriving society. By synthesizing, analyzing and visualizing millions of data points, we deliver a 360 view of the technology economy powering the insights that buyers, sellers, investors, and advisors need.\nAs a CBIer, you can expect to leverage generative AI to drive creativity, efficiency, and strategic decision-making. Our culture is infused with the spirit of exploration and experimentation and AI is a catalyst for new ideas and breakthrough solutions.\nOur core values:\n\nBuild Dope Isht\nSeek the Truth\nCreate Simplicity\nDive Deep\nPush Limits\nOwn Outcomes\n\nYoull want to work here if\n\nYou are excited about how AI is transforming tech\nYou are hungry for feedback and the chance to grow\nYour instinct is to work smarter not harder\nYou love developing as a SME with a POV\nYou are motivated by challenges and big ideas\nYou believe in radical personal accountability\n\nYou dont want to work here if:\n\nYou are a tech pessimist\nRadical Candor is not your style\nYou like to build big processes\nYou stay @ the 30,000 foot view instead of digging into the details\nYou prefer to operate in your comfort zone\nYou expect to be judged by outputs instead of outcomes\n\nWhat we offer:\n\nAward-winning culture: recognized by Inc., Glassdoor, and Built-in for leadership, career opportunity, and engagement\nIndustry Insight: over 500k+ people follow our tech newsletter: sign uphere\nHolistic compensation: cash, rich healthcare insurance benefits including PPO, HSA, and FSA options, Gympass, multiple mental health resources, pet insurance, 401k match, annual education stipend, and generous paid time off.\n\nAbout our pay practices\nWe believe in recognizing and rewarding excellence. Our commitment to fairness means that compensation decisions consider factors like qualification, location, internal equity, and market data.\nOur compensation philosophy goes beyond base salary. To align with your dedication and success, we offer total compensation as innovative as the work we do \xe2\x80\x93 this includes variable cash potential, 401k matching, flexible healthcare options plus mental health and gym resources, professional development and education stipends, great PTO, and more.\nEqualOpportunityEmployer:At CB Insights we know that innovation comes from collaboration, belonging, and diverse perspectives. Were proud to be an equal opportunity employer \xe2\x80\x93 all applicants are considered for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\t\t'
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. Ensure customer satisfaction through proactive communication with clients. •
. Analyze data to identify trends and insights to improve customer success. •
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Lead clinical development programs, Design study protocols, Support regulatory activities, Data
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Pipeline Generation: Create 80% pipeline Lead negotiations with potential clients Develop and
in accurate sales forecasts Tailoring presentations and proposals to meet specific needs
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e product adoption and engagement - Ensure customers achieve their business goals and KPIs -
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ales team * Utilize data analytics for sales strategies * Expand distribution
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Customer Activation Strategy Enterprise Rollout Management Implementation
Collaboration Change
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- Analyze company's financial position - Prepare budgets and forecasts - Provide financial
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- Complete audit procedures - Lead audits - Analyze large data sets - Exercise professional
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Entry level positions available | Flexible work hours | Strong typing skills required | Attention
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ata-driven approaches for informed decisions - Build strong relationships with stakeholders -
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Own SEO product roadmap Manage technical aspects of SEO strategy Collaborate with cross-functional
eams Utilize data-driven insights for SEO techniques Educate stakeholders on SEO
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nterdepartmental collaboration Provide data-driven
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Define, track, and optimize business KPIs; Develop and refine business processes; Ensure data
ity and automation; Enable cross-functional collaboration; Support strategic
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Lead all data management activities, design and execute clinical studies, develop data validation
ograms, drive process improvement, adhere to industry
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Drive growth and secure renewals | Manage customer relationships | Meet revenue goals | Provide
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ate with stakeholders - Ensure data
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Enhancing business performance through data-driven insights in different sectors such as eCommerce,
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Opportunity to work remotely, Collaborative data-driven environment, Competitive salary and
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Support various marketing areas with a focus on influencer marketing, paid search, paid social, and CRM
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ocial media trends - Collaborate with team members - Deliver outstanding
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Provide pricing analysis and financial modeling, Develop and manage project budgets, Analyze
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Support internal operations and growth, Drive process improvements, Ensure system functionality,
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