Get Hired Faster With COMPANY_NAME!
Don't you ever think you landed here by any accident, You are here because you are searching for something bigger. You know what?
- A better Job
- A better Future
- A better Knowledge
- A better Paycheck
- A greater Path to walk on.
And COMPANY_NAME is here to give you exactly what you've been missing for so long. The reality is that most job seekers chase job postings, but successful job seekers attract job offers by chasing the accurate information. Therefore, that's the shift COMPANY_NAME is going to help you make. Here are the top 10 ideas to up-skill yourself, so lean in to begin:
1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process
COMPANY_NAME is a career-changing advantage that most seekers never get access to. Imagine...
- Instead of applying for job after job and still not getting any callbacks, you suddenly bump into a tool that can do the heavy lifting for you.
- Instead of wondering, "What do employers actually want?", you are getting insights straight from the employer's desk.
- Instead of hoping your resume gets noticed, it’s kept on the table of decision-makers who are hiring right now.
That's the difference COMPANY_NAME makes. Our tools will let you reach employers directly, which automatically speeds up your hiring process.
2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!
How does COMPANY_NAME make this possible?
On COMPANY_NAME, you get notified for roles aligned with your profile right from the start. When an employer posts a role that matches your qualifications and skills, you’ll know first. When you apply early, your chances of getting noticed and shortlisted increase by 20%.
COMPANY_NAME also offers direct employer responses—no more waiting for weeks. Here you engage with hiring managers who are actively looking for candidates.
When all these features combine in one place, you move from your first match to your first interview within days. And ultimately, from application to offer—all within 15 to 30 days!
3: The Type of Resume You Need to Get Priority Placement
With COMPANY_NAME, you don’t just need a resume—you need a strategy. A system that pushes your name to the right tables. We’ll show you exactly how the most successful candidates take initiative and get noticed.
4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME
The job market isn’t one-size-fits-all—and your career shouldn’t be either. COMPANY_NAME gives you access to a wide range of opportunities including full-time, part-time, and freelancing roles all in one place.
5: COMPANY_NAME Helps You Grow Your Career
COMPANY_NAME provides insights, tools, and role-matching that help you find the right direction, the right skills, and the opportunities aligned with your ambition.
6: The Easiest Way To Find A Job
COMPANY_NAME cuts the noise, the endless scrolling, and the confusion. With accurate matches, direct employer connection, and real-time updates, you get a clear and simple path from application to interview.
7: Find Roles That Offer Growth, Culture & Benefits
COMPANY_NAME helps you find roles where you grow, feel supported, and thrive—not just survive. With us, you discover opportunities that elevate your professional life.
8: Get Support With Resume, Interviews & Career Planning
COMPANY_NAME provides expert guidance on resumes, interviews, and planning so employers instantly recognize your strengths and value.
9: Your Future Starts Today
COMPANY_NAME gives you everything you need—tools, guidance, and opportunities—to step forward confidently and begin a new chapter where your potential is seen and supported.
10: Get Hired Within 15 to 30 Days With COMPANY_NAME
COMPANY_NAME follows a smart, strategic, and proven approach that gets your profile noticed faster and moves you toward interviews and offers within 15 to 30 days.
Sr Applied Data Scientist - Personalization (applied ML, PyTorch, ML Ops)
The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at
JOIN TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS (RecSys)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role withTargetData Sciencesmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithmsthat power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization/RecSys rely on.
As aSr Data Scientist,you'llwork on the Target Data Science Recommendations team collaborating with data scientists, machine learningengineersand product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimizationyou'llperform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment, andanalyze performance and trade-offs.Wewill expectyou to understand Agile principles, follow best-practice software design,participatein code reviews, createa maintainable and well-tested codebase with relevant documentation. On the business side,you'lldocument and present work to technical and non-technical peers, build knowledge on business priorities and strategic goals and leveragethis knowledge while building requirements and solutions for each businessneed.
Coreresponsibilities of this job are articulated within this job description. Job duties may change at any time due to businessneeds.
Aboutyou:
- MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience
- 3 plus years of experience developing machine learning models using deep learning frameworks such asPyTorchor JAX
- Experience building recommendation, personalization, search, ranking or retrieval systems at scale
- Strong programming skills in Python and SQL
- Demonstrated experience with optimization, statistics, probability and experimental design
- Experience evaluating models through offline analysis on large-scale datasets and online experimentation, including statistical analysis and interpretation of results
- Knowledge of large-scale data processing and analytics platforms such as Spark
- Extensive experienceleveraginggenerative AI tools to accelerate development, experimentation and model delivery
- Ability to communicate complex technical concepts and results to both technical and non-technical audiences
- Demonstrated ability to translate business problems into scalable data science solutions
- Self-driven, results-oriented and able to meet tight deadlines
- Motivated team player who thrives in a collaborative - global environment
This position willoperateas a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Clickhereif you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role:Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 10/08/2026
