Langsung ke konten utama
Kembali ke Lowongan

Staff Data Scientist, AI/ML

Optimalkan produk AI untuk profesional medis di Doximity

Anda akan mengoptimalkan, menyesuaikan, dan mengevaluasi produk AI untuk profesional medis di platform Doximity. Anda akan menggunakan dataset yang luas untuk menciptakan analitik produk dan klien. Kerja ini dilakukan dalam tim yang terdistribusi dengan teknologi seperti UNIX, git, dan GitHub.

Kenapa Menarik?

Doximity memiliki tim yang terdistribusi dan menggunakan teknologi terbaru.

Tanggung Jawab Utama

  • Mengoptimalkan produk AI menggunakan dataset yang luas
  • Menyesuaikan dan mengevaluasi AI untuk profesional medis
  • Menciptakan analitik produk dan klien
  • Bekerja dalam tim yang terdistribusi dengan teknologi seperti UNIX dan git

Persyaratan

  • Pengalaman dengan UNIX command-line interface
  • Pengalaman dengan standard programming tools (vim/emacs, git, etc.)
  • Pengalaman dengan GitHub dan repositori pribadi
  • Pengalaman dengan analitik produk dan klien

Skills Wajib

pythonmachine learningsqldata scienceaimlunixgit

Konteks Indonesia

Overlap Jam Kerja:
Fleksibel — atur jam kerjamu sendiri
Lihat selisih gaji remote (USD) vs lokal →

Keywords

data scientistaimlhealthcareremotefull-timeunixgitgithub
Lihat Deskripsi Asli dari Greenhouse Boards

Deskripsi asli dari Greenhouse Boards

<p>Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.</p> <p>One of Doximity's<a href="https://work.doximity.com/"> core values</a> is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it!</p> <h4><strong><em>Visa sponsorship is not available for this role.&nbsp;</em></strong></h4> <p><strong>About Us</strong></p> <ul> <li>Here are<a href="https://drive.google.com/open?id=1qimYh0mG3i1nTJe6jDCDepJt2i4o8MEB"> some of the ways we bring</a> value to doctors</li> <li>Here is an<a href="https://technology.doximity.com/technology-stack"> introduction</a> to our tech stack&nbsp;</li> <li>We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and<a href="https://github.com/doximity"> open-source projects</a></li> <li>We have worked as a distributed team for a long time;<a href="https://blog.brunomiranda.com/building-a-distributed-engineering-team-85d281b9b1c"> we're currently about 65% distributed</a></li> <li>Find out more information on the<a href="https://engineering.doximity.com/"> Doximity engineering blog</a></li> <li>Our<a href="https://work.doximity.com/"> company core values</a></li> <li>Our<a href="https://engineering.doximity.com/articles/engineering-recruitment-process-doximity"> recruiting process</a></li> <li>Our<a href="https://engineering.doximity.com/articles/mofo-driven-product-development"> product development cycle</a></li> <li>Our<a href="https://engineering.doximity.com/articles/software-engineering-on-boarding-at-doximity"> on-boarding &amp; mentorship process</a></li> </ul> <p><strong>Here's How You Will Make an Impact</strong></p> <ul> <li>Leverage Doximity's extensive datasets to optimize, tune and evaluate AI products for medical professionals on our platform.</li> <li>Play a key role in creating both product and client-facing analytics.</li> <li>Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.&nbsp;</li> <li>Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.</li> </ul> <p><strong>About you</strong></p> <ul> <li>At least <strong>5 years</strong> of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets.</li> <li>Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory.</li> <li>Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model (LLM) fine-tuning methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT).</li> <li>Proven ability to design, train, and evaluate large-scale models using frameworks such as PyTorch or TensorFlow.<strong><br></strong></li> <li>Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships.</li> <li>Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries.</li> <li>Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training.</li> <li>Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for stakeholders.</li> <li>Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research.</li> </ul> <p><strong>Compensation</strong></p> <p>The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.</p> <p><strong>More on /Benefits/Perks&nbsp;</strong></p> <p>Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include:&nbsp;</p> <ul> <li>Medical, dental, vision offerings for you and your family</li> <li>401k with matching program</li> <li>Employee stock purchase plan</li> <li>Family planning support, Childcare FSA, and parental leave</li> <li>Life, AD&amp;D, and Disability</li> <li>Generous time off, holidays and paid company trips</li> <li>Wellness benefits…plus many more!</li> </ul> <p><strong>More About Doximity…</strong></p> <p>For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members.&nbsp;</p> <p>Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our<a href="https://workat.doximity.com/"> careers page</a>,<a href="https://blog.doximity.com/"> company blog</a>, and<a href="https://engineering.doximity.com/"> engineering blog</a>. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit<a href="http://www.doximity.com/"> Doximity.com</a>.</p> <p>____________________________________________</p> <p><strong><em>EEOC Statement</em></strong></p> <p><em>Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</em></p>

Simpan & lacak lamaranmu + dapat match alert

Akun gratis · tanpa kartu kredit · Masuk

Pro Rp39rb/bln · lamar tanpa batas + resume AI

Perusahaan
Doximity
Sumber
Greenhouse Boards
Tipe Pekerjaan
full time
Lokasi
Remote · Open worldwide
Level
unspecified
Diposting
2 Jul 2026

Bagikan lowongan ini

Bantu temanmu nemu kerja remote berikutnya.

Pertanyaan yang sering diajukan

Apakah Staff Data Scientist, AI/ML di Doximity bisa dikerjakan remote?
Ya. Staff Data Scientist, AI/ML di Doximity adalah posisi remote yang terbuka untuk kandidat di seluruh dunia.
Jenis pekerjaan apa Staff Data Scientist, AI/ML di Doximity?
Posisi ini adalah pekerjaan full time.
Bagaimana cara melamar?
Klik tombol "Lamar" pada halaman ini untuk menuju halaman aplikasi resmi Doximity.

Jelajahi lebih lanjut

Data & laporan pasar

Riset gaji & permintaan skill dari data lowongan kami sendiri.

Dari blog kami

Simpan & lacak lamaranmu + dapat match alert

Akun gratis · tanpa kartu kredit · Masuk

Pro Rp39rb/bln · lamar tanpa batas + resume AI