Data Scientist

4P Consulting
  • Forest Park, Georgia
    30+ days ago

    Job Description

    HI,

     

    Hope you're doing well

     

    This is pankaj from 4P Consulting Please see below job description

     

    Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

     

    • A Data Scientist with 5 to 10 years of
      experience is responsible for leveraging
      data to uncover insights, create predictive
      models, and drive data-driven decision-
      making within an organization.
    • This role
      involves advanced analytics, machine
      learning, and strong problem-solving skills
      to extract actionable information from
      large datasets. Key Responsibilities: Data
      Analysis: Collect, clean, and analyze
      complex datasets to identify trends,
      patterns, and actionable insights.
    • Use
      statistical techniques to uncover
      meaningful information from data.
      Predictive Modeling: Develop and deploy
      machine learning models to predict future
      trends, behaviors, and outcomes. Apply
      regression analysis, clustering,
      classification, and other modeling
      techniques.
    • Data Visualization: Create
      compelling data visualizations to
      communicate findings effectively to both
      technical and non-technical stakeholders
      using tools like Tableau, Power BI, or
      Python libraries. Hypothesis Testing:
      Formulate and test hypotheses, providing
      statistical validation for business
      decisions and recommendations.
    • Feature
      Engineering: Engineer and select relevant
      features for machine learning models,
    • enhancing their predictive power.
      Algorithm Development: Build and fine-
      tune machine learning algorithms, such
      as decision trees, random forests, neural
      networks, and more, depending on the
      specific problem.
    • Data Integration:
      Collaborate with IT and database
      administrators to integrate and access
      data from various sources and data
      warehouses. Model Deployment: Deploy
      machine learning models in production
      environments to support real-time
      decision-making. A/B Testing: Design and
      analyze A/B tests to measure the impact
      of changes and improvements. Data
      Ethics:
    • Ensure ethical data practices,
      including privacy and compliance with
      data protection regulations. Cross-
      functional Collaboration: Collaborate with
      cross-functional teams, including
      engineers, business analysts, and domain
      experts, to understand business
      requirements and align data science
      initiatives with organizational goals.
      Mentorship:
    • Provide guidance and
      mentorship to junior data scientists and
      analysts, fostering their professional
      growth. Continuous Learning: Stay
      updated on the latest data science tools,
      techniques, and trends through ongoing
      professional development. Qualifications:
      Bachelor's degree in a quantitative field
      (e.g., Computer Science, Statistics,
      Mathematics, Engineering); a Master's or
      Ph.D. is a plus.
    • 5 to 10 years of experience
      in data science, including machine
      learning and statistical analysis.
      Proficiency in data analysis tools and
      programming languages such as Python,
      R, or Julia. Strong knowledge of machine
      learning algorithms and their applications.
      Experience with data visualization toolslike Tableau, Power BI, or data
      visualization libraries in Python (e.g.,
      Matplotlib, Seaborn). Solid understanding
      of databases and data manipulation using
      SQL. Excellent problem-solving and
      critical thinking skills. Strong
      communication skills to convey complex
      findings and insights to both technical and
      non-technical stakeholders. Familiarity
      with big data technologies and distributed
      computing frameworks is a plus (e.g.,
      Hadoop, Spark). Knowledge of data
      ethics, privacy, and compliance
      considerations.
    • A Data Scientist with 5 to
      10 years of experience is a critical asset to
      an organization, capable of transforming
      data into actionable insights, building
      predictive models, and driving data-driven
      decision-making. This role requires a
      strong foundation in data science
      techniques, programming, and advanced
      analytics, as well as the ability to
      collaborate with various teams and
      mentor junior staff.

    Thanks and Regards

    Sr. Talent Acquisition Specialist

    Pankaj Mishra

    Pankaj.Mishra@4pconsultinginc.com

    +1 205-756-4834

    Numbers & Facts

    LocationForest Park, Georgia

    Skills

    • A/B Testingunmatched
    • Analysis Skillsunmatched
    • Big Dataunmatched
    • Business Analysisunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Data Visualizationunmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Power BIunmatched
    • Problem Solving Skillsunmatched
    • Programming Languagesunmatched
    • Programming Methodologiesunmatched
    • Python Programming/Scripting Languageunmatched
    • Realtime Operating Systemunmatched
    • SQL (Structured Query Language)unmatched
    • Statisticsunmatched
    • Tableauunmatched
    • Test Designunmatched
    • Trend Analysisunmatched

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