Data Scientist - AI, Machine Learning & Analytics

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project.

Here are a few details.

Requirements

Key Responsibilities

• Build predictive models for attrition, performance, and career progression using advanced machine learning techniques.HCForward_JD_Data-Scientist_5yrsExp.docx

• Develop analytics for recruitment optimization, forecasting, skills gap analysis, and workforce planning.HCForward_JD_Data-Scientist_5yrsExp.docx

• Implement NLP solutions for employee sentiment, automated resume screening, and document AI for HR processes.HCForward_JD_Data-Scientist_5yrsExp.docx

• Design executive dashboards and recommendation systems linked to HR metrics, retention, and learning paths.HCForward_JD_Data-Scientist_5yrsExp.docx

• Lead POCs for emerging HR tech (Generative AI, AR/VR in training) and develop reusable ML assets for the product platform.HCForward_JD_Data-Scientist_5yrsExp.docx

• Collaborate with business stakeholders to define requirements and translate them to technical solutions; present findings to leadership; manage complete AI/ML project lifecycles.HCForward_JD_Data-Scientist_5yrsExp.docx

Required Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or related engineering discipline (Master’s preferred).HCForward_JD_Data-Scientist_5yrsExp.docx

• 5–6 years’ professional experience in data science, machine learning, and AI, with end-to-end delivery from POC to production.HCForward_JD_Data-Scientist_5yrsExp.docx

• Strong programming skills in Python (including OOP, API development, and best practices for linting/testing).HCForward_JD_Data-Scientist_5yrsExp.docx

• Advanced experience with classical and deep learning algorithms, time series, model evaluation, and optimization.HCForward_JD_Data-Scientist_5yrsExp.docx

• Experience deploying solutions on at least one cloud platform (AWS, Azure, or GCP), familiar with containerization and serverless architectures.HCForward_JD_Data-Scientist_5yrsExp.docx

Technical Competencies

• Strong hands-on skills in:
  

  • Machine learning frameworks (TensorFlow, Keras, PyTorch).
    

  • Data engineering, including large-scale datasets and ETL pipelines.
    

  • Modern NLP (transformers, BERT, GPT), text analytics, Hugging Face, NLTK, and spaCy.
    

  • MLOps, scalable ML pipeline and API development, distributed computing (Spark/PySpark).
    

  • Generative AI (LLMs, LangChain, prompt engineering), document AI, computer vision, and recommendation systems.HCForward_JD_Data-Scientist_5yrsExp.docx

Desired Skills

• Familiarity with BI/dashboarding tools (Tableau, Power BI, Plotly), version control and CI/CD, and relational/NoSQL/vector databases.HCForward_JD_Data-Scientist_5yrsExp.docx

• Specializations in HR analytics or workforce planning, and/or parallel experience in financial services, healthcare, or retail.HCForward_JD_Data-Scientist_5yrsExp.docx

Business & Consulting Skills

• Excellent written and verbal communication; able to explain complex technical concepts to non-technical stakeholders and senior leaders.HCForward_JD_Data-Scientist_5yrsExp.docx

• Aptitude for innovation, rapid prototyping, and contribution to professional technical communities.HCForward_JD_Data-Scientist_5yrsExp.docx

• Business acumen to interpret metrics, KPIs, and identify opportunities for AI/ML in HR processes.HCForward_JD_Data-Scientist_5yrsExp.docx

Additional Requirements

• Experience leading small teams (2–4 members) is a plus.
  

• Willingness to travel as required by client engagements.HCForward_JD_Data-Scientist_5yrsExp.docx

Benefits

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Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.