Data Scientist Jobs in the United States of America

Discover and find all Data Scientist Jobs in the United States of America with Welcome to the Jungle.

Data Scientist Jobs in the US

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Data Companies in the US

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  • Ekimetrics
    Ekimetrics
    Ekimetrics

    Leader en data science, Ekimetrics fournit des solutions d’IA conçues pour accompagner une performance business plus durable. Nous aidons les entreprises à générer de la valeur pérenne grâce à leurs données et à développer des solutions IA pré-industrialisées. Notre obsession : garantir un impact fort à court terme, tout en soutenant les objectifs d’entreprise à long terme.

    Quelques chiffres clés :

    • 16 années d’expérience en Data Science
    • +400 data scientists
    • 4 bureaux à Paris, Londres, New York & Hong Kong
    • +350 clients (CAC40, Fortune500)
    • +$1M de profit généré pour nos clients depuis 2006
    • +1000 projets Data Science
    •  7000 tonnes de CO2 évitées pour nos clients en 2022
    • Audit, Big Data, IT / Digital, Strategy
    • Paris, London, New York, Wan Chai
    • Between 250 and 2,000 employees
  • Opendatasoft
    Opendatasoft
    Opendatasoft

    Opendatasoft propose une plateforme all-in-one qui permet à toutes les équipes de créer et diffuser rapidement des expériences data qui nourrissent leurs écosystèmes.

    Nous sommes convaincus que le rôle de la donnée est en train de fondamentalement changer tant au sein des organisations que de la société toute entière. Dans un monde toujours plus numérique où la data abonde, le stockage de la donnée et leur seule exploitation par les experts ne suffisent plus. La valeur de la donnée réside, au contraire, dans ses multiples réutilisations et usages, par le plus grand nombre.

    • Big Data, SaaS / Cloud Services, Software
    • Paris, Boston Ma, Nantes
    • Between 50 and 250 employees
  • OpenAirlines
    OpenAirlines
    OpenAirlines

    🌍 Join OpenAirlines on our journey to save the planet! 🛫

    Since airline traffic is growing faster than ever, to tackle this challenge, we invented SkyBreathe®, an eco-flying software to help airlines and their stakeholders reduce their fuel costs and environmental impact. Today, we are the 2nd French Cleantech with the highest positive impact in C02 reduction.

    💚 OpenAirlines is also :

    • A green culture, strong ethical values, certified B-corp and HappyTrainnees,
    • Talented employees who are passionate about their missions and acting in favor of the environment,
    • A fun and relaxed atmosphere,
    • A job and a key role in a fast-growing international company,
    • A pleasant and international work environment with premises that favor openness, transparency, and cohesion.
    • Aeronautics / Space, Big Data, Environment / Sustainable Development
    • Toulouse, Hong Kong, Miami, Montréal
    • Between 50 and 250 employees
  • DataDome
    DataDome
    DataDome

    DataDome is a global cybersecurity company specializing in protection against online fraud and advanced cyberattacks. Their mission is to free the web from fraudulent traffic.

    Their experts use artificial intelligence-based technology to detect and block the most sophisticated "bad bots" in real time. Using their innovative products and solutions, Datadome is changing the standard for online fraud protection: proudly protecting over 250 companies worldwide, including TripAdvisor, The New York Times, Foot Locker, Patreon, Carrefour, BlaBlaCar, ZocDoc, Veepee and Reddit.

    The company is fully remote-enabled, allowing the 160 "BotBusters" spread around the world (and they are actively recruiting!) to collectively protect their customers from malicious traffic.

    • Big Data, Cyber Security, SaaS / Cloud Services
    • Paris, New York, Singapore
    • Between 50 and 250 employees
  • Salsify
    Salsify
    Salsify

    Salsify helps brand manufacturers, distributors, and retailers in over 80 countries collaborate to win on the digital shelf. 

    The Salsify platform serves as the system of record for products, accelerates time to market for products, facilitates cross-team and cross-organization collaboration at scale, and provides the insights needed to optimize product pages across channels continuously. 

    The result is shopper-centric, frictionless, and memorable commerce experiences.  

    Learn how the world’s largest brands, including Mars, L'Oreal, Coca-Cola, Bosch, and GSK, as well as retailers and distributors such as E.Leclerc, Carrefour, Metro, and Intermarché use Salsify every day to stand out on the digital shelf.

    • Big Data, SaaS / Cloud Services
    • Paris, Boston, Lisboa, London, Sydney
    • Between 250 and 2,000 employees
  • INTERSEC
    INTERSEC
    INTERSEC

    Intersec est un précurseur mondial en matière de données mobiles et de solutions d'intelligence géographique.

    En tirant parti de leur plateforme de "fast data", Intersec donne à ses clients les moyens d'obtenir des résultats à valeur ajoutée - qu'il s'agisse de permettre aux autorités publiques d'avertir efficacement les gens en cas de danger ou d'aider les opérateurs télécoms à trouver de nouvelles sources de croissance.

    • Artificial Intelligence / Machine Learning, Big Data, Connected Objects, Electronics / Telecommunications, SaaS / Cloud Services, Software
    • Paris, Chicago, Dubaï, Singapour
    • Between 50 and 250 employees
  • The BVA Family
    The BVA Family
    The BVA Family

    The BVA Family is an independent international leader in research, consulting and data in 11 countries. For over 50 years, we have been committed to helping our customers transform and achieve sustainable growth in a constantly changing world. Thanks to a unique approach based on behavioral science, our 1,000 employees offer their customers a "Behavioral Advantage" to help them move from ambition to action and build a positive future.

    • Advertising, Big Data, Strategy
    • Paris, Balma, Hamburg, Lancy, London, Lyon, Montreuil, Montrouge, Singapour, Skokie, Teaneck
    • Between 250 and 2,000 employees
  • Sinay
    Sinay
    Sinay

    Sinay est une société tech qui aide les entreprises maritimes à concilier efficacité opérationnelle et protection des océans.

    Elle a développé le Sinay Hub, une plateforme digitale unique qui agrège et analyse les données maritimes avec des technologies avancées d’IA. Elle peut intégrer tous types de capteurs et sources de données, et déployer de nombreuses opérations de collecte de données en mer grâce à ses 15 ans d'expertise terrain. Elle délivre ensuite des prédictions environnementales et logistiques aux industries de la construction offshore, de la supply chain et des ressources marines.

    Les indicateurs environnementaux trackent la pollution de l'air, de l'eau et du bruit, et prédisent leur impact sur la biodiversité. Les indicateurs logistiques peuvent indiquer avec précision le temps d'arrivée des navires dans un port et la congestion portuaire.

    Son crédo: "Nous aimons la donnée, nous aimons l'Océan, nous connectons les deux!"

    • Artificial Intelligence / Machine Learning, Big Data, SaaS / Cloud Services
    • Caen, Brest, Cherbourg-En-Cotentin, Dieppe, Dunkerque, Granville, Le Havre, Lorient, San Francisco, Singapour
    • Between 50 and 250 employees
  • Sifflet
    Sifflet
    Sifflet

    Created in 2021, Sifflet is transforming the data and infrastructure space by creating the world's first Full Data Stack Observability platform to enable companies to trust their data at scale, and excel at data driven decision-making.

    We are a mission driven and ambitious group of individuals. We were Data Leaders and Practitioners at some of the world’s most data mature organisations (Uber, Amazon, Goldman Sachs, Datadog, Snowflake, etc...) and understand the pain of dealing with poor quality data.

    • Artificial Intelligence / Machine Learning, Big Data, SaaS / Cloud Services
    • Paris, London, New York
    • Between 15 and 50 employees

Data Science job market in the US

The data science job market in the United States is flourishing, reflecting the increasing importance of data-driven decision-making across industries. With the advent of big data, artificial intelligence (AI), and machine learning (ML), the demand for skilled data scientists who can analyze complex data sets, extract insights, and build predictive models has skyrocketed. Here’s an overview of the current state of the data science job market in the U.S., including trends, in-demand skills, and future prospects.

Key Trends

  • Widespread Demand Across Sectors: Data science expertise is sought after in various industries, including technology, finance, healthcare, retail, and more. Companies ranging from startups to Fortune 500 corporations are looking for data scientists to help them harness the power of their data.
  • High Salaries: Due to the high demand and the specialized skill set required, data science roles are among the highest-paying jobs in the tech sector.
  • Evolution of Role: The role of data scientists is evolving, with a growing emphasis not just on technical skills, but also on the ability to derive actionable business insights from data. This requires a blend of data engineering, statistical analysis, and business acumen.

Skills in Demand

  • Programming Languages: Proficiency in programming languages such as Python and R is essential for data manipulation and analysis.
  • Machine Learning and AI: Knowledge of machine learning algorithms and AI techniques is crucial for building predictive models and automation tools.
  • Big Data Technologies: Familiarity with big data platforms like Hadoop and Spark, as well as database querying languages like SQL, is important for handling large data sets.
  • Data Visualization: Skills in data visualization tools like Tableau, Power BI, or Matplotlib in Python are necessary to communicate findings effectively to non-technical stakeholders.
  • Statistical Analysis: A strong foundation in statistics and mathematics is key to understanding data patterns and making informed predictions.

Challenges and Opportunities

  • Skill Gap: The rapid growth of the data science field has led to a talent shortage, with the demand for data scientists outpacing the supply of qualified candidates. This creates significant opportunities for individuals with the right skill set.
  • Ethics and Privacy: With the increasing use of data, ethical considerations and data privacy are becoming more important. Data scientists must navigate these issues while leveraging data responsibly.
  • Continual Learning: The fast-paced nature of technology means that data scientists must commit to continual learning to keep up with new tools, techniques, and best practices.

Future Outlook

The outlook for the data science job market in the U.S. remains extremely positive. The Bureau of Labor Statistics projects the growth of computer and information research scientist jobs, which includes data scientists, to be much faster than average from 2019 to 2029. As businesses and organizations continue to recognize the value of data analysis for strategic decision-making, the demand for data science professionals is expected to keep growing.

In addition, the rise of emerging technologies like AI, ML, and IoT (Internet of Things) will likely create new avenues and applications for data science, further expanding the job market. The development of ethical AI and privacy-preserving data analysis methods also presents new challenges and opportunities for data science professionals.

In summary, the data science job market in the U.S. is vibrant and offers lucrative opportunities for skilled professionals. The combination of a high demand for data science skills across various sectors, the potential for high earnings, and the continually evolving nature of the field makes it an attractive career path for those interested in data and analytics.

Other Data Jobs by role in the US