Is the Data Scientist role fully remote?

Yes — this Data Scientist role is remote-friendly. The listing is anchored to Guadalajara, JA for tax and payroll purposes, but the client is open to candidates who can work from anywhere the applicant-location requirements allow. Occasional travel for on-site quarterly reviews may be requested; the recruiter will confirm during your calibration call.

Is this a permanent role?

Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.

What is the compensation range for this role?

The advertised range for this Data Scientist role is $45,000–$50,000 per month. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

How quickly does the interview process move?

If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

What technical skills does the Data Scientist role require?

The client is targeting depth in Data. Adjacent experience is welcome — we routinely place candidates whose exact stack match is 60-70% when the underlying pattern (distributed systems, regulated-data handling, or comparable) is strong. Bring the full stack breadth to your calibration call; the recruiter will map it onto the client's evaluation scorecard.

Remotefull timeReq 26-02748Posted Today

Data Scientist

Full Time/Contract role in Guadalajara, JA. Remote engagement, matched and submitted by an ApTask vertical recruiter.

Location: Guadalajara, JA · Remote
Compensation: $45k–$50k/mo

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Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.

Stack

Data

About the role

Job Description
Job Summary –
Data Scientist (Intermediate) – MyCustomer360
We are seeking a highly skilled Data Scientist (Intermediate) to design, develop, and scale advanced analytics capabilities for the MyCustomer360 program. This role will drive data-driven insights, enable operational decision-making, and accelerate the development of next-generation analytics products leveraging AI and modern data architectures.
You will work closely with cross-functional teams (analytics, engineering, product, and business stakeholders) to transform complex, high-volume operational data into actionable intelligence and scalable data solutions.

Years of experience needed –
3-5 years of experience in a Data Scientist function.
Key Responsibilities

Advanced Analytics Development
- Build predictive and prescriptive models to improve customer operational performance
- Translate business problems into analytical solutions with measurable impact
- Develop reusable analytics assets and frameworks across MyCustomer360 workstreams
Data Engineering & Modeling
- Design and optimize data models across OLTP and OLAP environments
- Integrate and transform large-scale, multi-source datasets (structured and semi-structured)
- Ensure data quality, performance, and scalability of analytics pipelines
AI & Automation
- Develop and deploy AI-powered solutions, including Copilot / AI agents, to automate insights generation and workflows
- Apply machine learning and generative AI to enhance user experience and decision support
Visualization & Business Intelligence
- Design and deliver advanced Power BI dashboards to support executive and operational reporting
- Enable self-service analytics through intuitive, high-impact data products
Software Development & Delivery
- Develop robust, production-grade code using Python and SQL
- Follow best practices in version control, testing, and CI/CD for analytics solutions
- Collaborate in Agile environments to deliver scalable solutions

Stakeholder Collaboration
- Partner with business and technical stakeholders to define requirements and success metrics
- Communicate insights clearly to both technical and non-technical audiences

Required Qualifications

Strong expertise in:
- SQL (advanced querying, optimization across large datasets)
- Python (data science, automation, software development practices)
- Data modeling (OLTP and OLAP architectures)
- Power BI (advanced dashboarding, data modeling, DAX)
Experience with:
- Building and deploying AI solutions / Copilot agents
- End-to-end analytics lifecycle (data ingestion modeling visualization)
- Working with large-scale, complex, normalized datasets
Strong understanding of:
- Data warehousing, ETL/ELT pipelines, and performance optimization
- Statistical analysis and machine learning techniques
Fluent English (written and verbal)

Preferred Qualifications

Experience in customer analytics, supply chain, or operational performance data
Familiarity with cloud data platforms (e.g., Azure Data Services)
Experience building data products and enabling self-service analytics at scale
Background in Agile/Scrum environments

Success Profile (What Great Looks Like)

Delivers scalable analytics solutions that drive measurable business outcomes
Transforms complex data into clear, executive-level insights
Accelerates analytics adoption through automation and AI-driven innovation
Acts as a bridge between data engineering, data science, and business teams

Impact
This role is critical to advancing the MyCustomer360 vision by:

Enabling end-to-end visibility of customer performance
Driving data-driven decision making at scale

Delivering next-gen analytics powered by AI and automation

Certifications Needed:

Bachelor s degree in computer science or related field.

About technology at ApTask

What this vertical looks like inside ApTask.

Technology roles at ApTask cover the software, cloud, data, security, and platform-engineering functions that power Fortune 500 digital operations. Our recruiters specialise in high-signal technical calibration — every candidate is validated against the specific stack, framework versions, and deployment context the client runs, not a keyword match. Our largest engagements sit inside AWS, Azure, GCP, Snowflake, Databricks, and modern data-mesh estates. Because we route through Fieldglass, Beeline, Workday VNDLY, and Coupa VMS, technology contractors placed through ApTask carry MBE diversity spend against the client's supplier program while remaining W-2 with full benefits under our payroll.

How it works

What happens after you apply.

1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you onboard W-2 with ApTask (contract) or direct-hire with the client (per role type). Benefits, payroll, and timesheets run through us. Your recruiter stays your point of contact for the length of the engagement.

Frequently asked

Questions candidates ask about this role.

Is the Data Scientist role fully remote?: Yes — this Data Scientist role is remote-friendly. The listing is anchored to Guadalajara, JA for tax and payroll purposes, but the client is open to candidates who can work from anywhere the applicant-location requirements allow. Occasional travel for on-site quarterly reviews may be requested; the recruiter will confirm during your calibration call.
Is this a permanent role?: Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.
What is the compensation range for this role?: The advertised range for this Data Scientist role is $45,000–$50,000 per month. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.
How quickly does the interview process move?: If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.
What technical skills does the Data Scientist role require?

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