Manager - Lead Data Scientist

Reposted 5 Hours Ago
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Taguig City, Metro Manila, National Capital Region, PHL
In-Office
Senior level
Information Technology
The Role
Lead end-to-end data science projects including problem definition, model development, deployment, and monitoring. Mentor junior staff, collaborate with stakeholders, ensure compliance with data governance and ethical AI, and promote knowledge sharing and MLOps practices.
Summary Generated by Built In

Job Description:

DXC Technology is a Fortune 500 Global IT Services Leader and is ranked at 152. Our more than 130,000 people in 70-plus countries are entrusted by our customers to deliver what matters most. We use the power of technology to deliver mission critical IT services that transform global businesses. We deliver excellence for our customers, colleagues, and communities around the world. 

 

Accelerate your career and reimagine the possibilities with DXC! 

 

We inspire and take care of our people. Work in a culture that encourages innovation and where brilliant people embrace change and seize opportunities to advance their careers and amplify customer success. Leverage technology skills and deep industry knowledge to help clients. Work on transformation programs that modernize operations and drive innovation across our customer’s entire IT estate using the latest technologies in cloud, applications, security, IT Outsourcing, business process outsourcing and modern workplace. 

 

SMART FIRST MESSAGING 

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.#DXCSMARTFirst 

Roles and Responsibilities: 

  • Develop and maintain predictive models and machine‑learning solutions supporting business use cases.
  • Build, evaluate, and optimize forecasting models, including time series models and machine‑learning‑based predictors.
  • Collaborate closely with data engineers, analysts, and business stakeholders to define requirements and translate them into analytical solutions.
  • Work within the Databricks environment to build scalable data pipelines and automated workflows as data engineer leveraging Python language
  • Ensure proper governance, reliability, and documentation of analytical models and code.
  • Deploy models and applications within Azure-based infrastructure.

Education and Experience Required: 

  • Bachelor's degree in a relevant field or equivalent combination of education and experience 
  • Typically, 7-10 years of relevant work experience in industry. 
  • A continuous learner that stays abreast with industry knowledge and technology 
  • knowledge of basic statistical concepts such as correlation, confidence interval, etc.,
  • familiarity with data science libraries in Python — SciPy, scikit-learn,
  • understanding of linear regression (Ordinary Least Squares, ElasticNet, Ridge Regression) and forecasting methods using machine learning,
  • knowledge of SQL,
  • knowledge of time series forecasting methods.

 

Other Qualifications/Skillsets: 

  • familiarity with the Databricks environment (workflows, jobs),
  • familiarity with the Azure environment (Azure Key Vault, Function Apps, Storage Accounts),
  • knowledge of PySpark,
  • ability to write object-oriented code.
  • Experience with CI/CD pipelines.

 

What awaits you in DXC: 

  • Health Insurance (HMO) for you and dependents upon hiring 

  • Life Insurance coverage from day 1 of employment 

  • 15 - 20 Days’ Vacation and 15 Days Sick Leave 

  • Expanded maternity leave up to 120 days and Maternity Benefits 

  • Expanded paternity leave up to 30 days 

  • Non-Taxable Allowance (De-minimis) 

  • Company-sponsored trainings upskilling, and certification 

  • SMART First Working Arrangements 

  • Healthy and Encouraging Work Environment 

  • Recognition and Pay for Performance Culture 

  • Supplemental Pay (Standby/Shift) 

  • Retirement Program 

  • Employee Assistance Program 

 

 

If you are motivated to deliver excellent results, want to grow your career and make a difference, come join us 

 

We are DXC. 

 

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

Skills Required

  • 8+ years professional experience as a Data Scientist or AI/ML Engineer
  • Bachelor's degree in Computer Science or related field (or 10+ years relevant experience without a degree)
  • Proven track record delivering enterprise data science solutions with large-scale structured and unstructured data
  • Proficiency in Python
  • Proficiency in R
  • Proficiency in SQL
  • Experience with scikit-learn, TensorFlow, PyTorch, and XGBoost
  • Strong understanding of statistical modeling, time series, regression, and experimental design
  • Experience with LLMs, RAG, LangChain, Generative AI and NLP
  • Experience with PySpark
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Familiarity with cloud platforms and cloud-based AI/ML tools
  • Knowledge of data visualization tools (Power BI, Tableau, Plotly)
  • Familiarity with MLOps practices and tools (MLflow, Airflow, CI/CD pipelines)
  • Strong problem solving, stakeholder communication, mentoring, and project management skills
  • Preferred certifications: Azure Data Scientist/AI Engineer, Databricks Data Scientist, Google Professional ML Engineer, AWS Certified ML

DXC Technology Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DXC Technology and has not been reviewed or approved by DXC Technology.

  • Healthcare Strength Health coverage includes multiple national carrier options and plan types, with HSA eligibility where applicable. Feedback suggests the medical, dental, and vision lineup is broad and comparable to large-firm offerings.
  • Retirement Support A 401(k) program with employer matching and an annual true-up is available, with standard vesting provisions. This structure can help employees capture matching contributions over the year if contribution rates vary.
  • Leave & Time Off Breadth Flexible or “unlimited” vacation is offered for many U.S. roles instead of accrual-based PTO. Feedback suggests the approach can support work-life balance when team norms allow adequate time away.

DXC Technology Insights

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The Company
HQ: Buenos Aires, Buenos Aires
86,261 Employees
Year Founded: 2017

What We Do

DXC Technology is a Fortune 500 global IT services leader. Our more than 130,000 people in 70-plus countries are entrusted by our customers to deliver what matters most. We use the power of technology to deliver mission critical IT services across the Enterprise Technology Stack to drive business impact. DXC is an employer of choice with strong values, and fosters a culture of inclusion, belonging and corporate citizenship. We are DXC.

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