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Data Scientist
Data ScientistSelectMinds • Dallas, TX, United States
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Data Scientist

Data Scientist

SelectMinds • Dallas, TX, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]
Benefits :
  • HYBRID
  • Competitive salary
  • Opportunity for advancement
  • Training & development
  • Job Title : Data Scientist - Integrated Operations

    Location : Dallas, TX (Hybrid Remote)

    In-Person Interview

    Must be authorized to work in the U.S

    Work Arrangement

    • Hybrid work model : primarily remote within the Dallas-Fort Worth area.
    • Occasional on-site presence required for meetings, training, or business needs.
    • Limited business travel may be required.
    • Roles & Responsibilities

      6+ years of experience in Machine Learning and Data Science.

    • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms.
    • Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
    • Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
    • Experience in building Asynchronous Python APIs.
    • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
    • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
    • Proven experience in developing and deploying machine learning models in a production environment.
    • Experience working with large datasets and performing data analysis
    • Required Qualifications

      Education

    • Bachelor's degree in Mathematics, Computer / Data Science, Information Technology, or a related field, or equivalent experience.
    • Experience

    • Advanced experience in data science, machine learning, AI, or optimization projects.
    • Proficiency in Python and SQL.
    • Strong understanding of statistical methods, experimental design, and model validation.
    • Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).
    • Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).
    • Preferred Experience

    • Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).
    • Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.
    • Skills & Abilities

    • Ability to independently manage and deliver on complex projects.
    • Strong problem-solving and critical thinking skills.
    • Effective communication skills for both technical and executive audiences.
    • Ability to adapt quickly to changing priorities and new technologies.
    • Strong interpersonal and collaboration skills.
    • Compensation : $65.00 - $75.00 per hour

      About Us

      We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.

      Work Approach

      Our Philosophy

      Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.

      Work Policy

      We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.

      The Future

      SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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