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Data Scientist (Remote)

Data Scientist (Remote)

Altus Group301, Home Office, TX
30+ days ago
Job type
  • Full-time
  • Remote
Job description

Catégorie d'emploi : Technologie

Gamme des niveaux de rémunération :

60,840.00 - $141,960.00

Clause de non-responsabilité : L'échelle de salaire de base représente le bas et le haut de l'échelle de rémunération du Groupe Altus pour ce poste dans le lieu de travail principal. Les salaires réels à l'embauche varieront en fonction de facteurs incluant, mais sans s'y limiter, l'expérience professionnelle et les données du marché géographique pour le poste. L'échelle salariale mentionnée ci-dessus ne reflète pas la rémunération totale des employés du Groupe Altus. D'autres récompenses peuvent inclure une prime annuelle, des modalités de travail flexibles et des avantages spécifiques à la région.

Débloquez votre expérience Altus !

Si vous cherchez à faire progresser votre carrière dans les domaines de l'analyse des données, de l'expertise et de la technologie pour le marché mondiale de l'immobilier commercial (CRE) en croissance rapide, il n'y a pas de meilleur endroit que le Groupe Altus. Chez Altus, notre travail est utile. Chaque jour, nos employés ont un impact, innovent et façonnent l'industrie mondiale de l'immobilier commercial et de la PropTech.

Notre culture centrée sur les personnes vous permet d'agir dans un climat de confiance et de performance, au sein d'une équipe inclusive qui collabore à la modernisation de notre secteur d'activité. Nous investissons dans nos collaborateurs en leur proposant des formations et des opportunités de croissance conçues pour les faire progresser dans leur carrière, tout en leur offrant un lieu de travail flexible et progressif qui reflète nos valeurs et nos équipes.

Venez réaliser votre potentiel chez Groupe Altus!

Job Summary :

Altus Group is seeking a Data Scientist to support Altus Labs, the firm's commercial real estate (CRE) hub for innovation, focused on applying new data, methodologies, and tech to drive better client investment and operating outcomes. As a Data Scientist, you will support the development of new analytics and data solutions through statistical modeling, feature engineering, machine learning and interpretation. Our Data Scientists collaborate with a team of other Data Scientists, economists, and other technology and product stakeholders.

Key Responsibilities :

As part of a data team, design, build and improve Altus Group data science and machine learning models

Collaborate with R&D resources to define and scope data science solutions

Manipulate and clean data (exploratory data analysis), build new features (feature engineering), perform feature selection and model selection, and implement production-ready models

Participate in model and code reviews and contribute to a team consistently shipping new or updated analytics solutions

Define and implement metrics that will track model performance over time to identify risks and opportunities

Communicate results and insights from data science initiatives to stakeholders and other internal / external users and customers

Key Qualifications :

A scientist at heart. You are thoughtful and rigorous about modeling methodology and setting standards for exploration and experimentation. You creatively apply existing methodology to new analytical challenges and thrive on asking "What if?" questions.

Skilled in statistics / machine learning. You have applied experience with statistics / machine learning. Python toolkits you may have used recently include statsmodels, scikit-learn, or tensorflow.

You have demonstrated programming expertise with Python and SQL for ML techniques, including feature engineering / selection, model selection, model tuning, and performance measurement.

2+ years of experience working in an applied data or analytics position, depending on academic background

Demonstrated accomplishments in data science or analytics, including :  Data wrangling : transformation and cleaning, Feature engineering, Statistical or ML model implementation

Experience with data engineering and / or collaborating with data engineers

BS or MS degree in Statistics, Data Science, Economics, Computer Science, or a related technical field

remote

Ce que le Groupe Altus offre :

  • Récompenser les performances : Nous sommes heureux de pouvoir offrir à nos employés une rémunération compétitive, des plans d'incitation et de primes, ainsi qu'un ensemble de récompenses qui donne la priorité à leur santé mentale, physique et financière globale.
  • Croissance et développement : En tant que destination pour les meilleurs talents de l'industrie, nous investissons en vous pour répondre aux besoins changeants de nos clients et atteindre vos objectifs professionnels. Notre Altus Intelligence Academy offre plus de 150 000 heures de matériel d'apprentissage pour répondre aux différentes étapes de la carrière d'un employé.
  • Modèle de travail flexible : Nous modernisons nos programmes pour les employés afin de refléter le nouveau monde du travail. Notre modèle de travail basé sur l'activité vous offre la flexibilité d'aligner votre lieu de travail sur le travail effectué - le bureau pour la connexion et la collaboration, et l'éloignement pour le travail ciblé.

Le Groupe Altus s'engage à favoriser un environnement de travail inclusif où tous les clients et employés se sentent accueillis, acceptés et valorisés. Nous sommes un employeur offrant l'égalité des chances et nous ne discriminons aucun employé ou candidat à l'emploi en raison de la race, de la couleur, du sexe, de l'âge, de l'origine nationale, de la religion, de l'orientation sexuelle, de l'identité de genre, du statut d'ancien combattant, du handicap ou de toute autre classe protégée au niveau fédéral, étatique ou local.

Les candidats handicapés peuvent contacter Altus Group pour demander et organiser des aménagements. Si vous avez besoin d'aménagements, veuillez nous contacter à l'adresse ou au +1 888 692 7487 .

Nous apprécions tous les candidats qui prennent le temps de postuler auprès du Groupe Altus. Veuillez noter que nous ne communiquerons qu'avec les personnes sélectionnées pour poursuivre le processus. Nous vous remercions.

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Data Scientist • 301, Home Office, TX

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