principal statistical scientist

Parexel

<div>Name of Employer: Parexel International LLC
Position Title: Principal Statistical Programmer
Position Location: 275 Grove Street, Newton, MA 02466 
Salary: $159,896.21 &ndash; $207,400 per year
Hours: Full Time / 40 hours per week
Summary of Duties:
Provide technical support and expert advice to internal and external sponsors on statistical programming projects to support clinical trial activities. Work independently to support various programming activities related to analysis and reporting of clinical study data. Fill the Statistical Programming Lead role on projects and liaise with sponsors, Biostatistics Leads, Data Management Leads, and other functional areas. Monitor quality, timelines, resource allocation, and productivity in relation to budget. Project management for statistical programming. Advise and negotiate statistical programming timelines.
Education requirements: Bachelor's in Statistics, Mathematics, Pharmaceutical Science, Data Analytics or related field. Employer will accept post-secondary academic coursework and/or relevant work experience which is evaluated as equivalent to a U.S. Bachelor&rsquo;s degree in accordance with 8 CFR &sect; 214.2(h)(4)(iii)(D).
Experience requirements: 7 years of progressive experience in statistical programming.
Special Skills or Other Requirements: Applicants must have 7 years of experience with:
Programming and reporting process; FDA 21 CFR Part 11 regulations; Regulatory requirements (ICH-GCP, CDISC, and electronic submissions); Analyzing data from Phase I, II, and III clinical trials; SAS/BASE, SAS/STAT, SAS/SQL, SAS/MACRO, SAS Data Step, Proc Step, and Functions; Generating reports, tables, and listings for statisticians; Building structured, CDISC, SDTM, or ADaM databases for clinical studies; Leading teams in a statistical programming environment; Pinnacle 21 for CDISC compliance validation; and R programming for statistical analysis and visualization.
*100% Remote reporting to Newton, MA.*
*Position eligible for Employee Referral Program*
To apply: Individuals interested in applying for the position may email a resume with Job #LV0209 to openings@parexel.com.</div>

Principal Statistical Programmer

Integrant

<div>We Are Hiring!
Integrant is looking for game changers to join our team as &quot;Principal - Data Scientist&quot; with below roles and responsibilities:<ul>
<li>Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.</li>
<li>Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.</li>
<li>Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.</li>
<li>Mentor junior members on the team in data science.</li>
Deliver machine learning models to clients and contribute in knowledge transfer. 
<li>
</li></ul> 
 
Requirements 
<ul>
<li>All in all experience around 7 years.</li>
<li>5+ years of experience with Data Science workloads.</li>
<li>MSc in Computer Science or other equivalent quantitative field.</li>
<li>Familiarity with classification, clustering, regression and association rule mining.</li>
<li>Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).</li>
<li>Familiarity with Azure Cognitive Services and Azure ML.</li>
<li>Familiarity with AWS SageMaker.</li>
<li>Experience with deploying models to production.</li>
<li>Experience with monitoring models post production and detecting concept drift.</li>
<li>Familiarity with Deep Learning.</li>
<li>Extensive experience with Python.</li>
<li>Familiarity with conducting open scientific research.</li>
</ul>Nice to Have<ul>
<li>Familiarity with Re-enforcement Learning.</li>
<li>Familiarity with Stochastic Local Search Methods.</li>
<li>Familiarity with MLOps on Azure.</li>
<li>Familiarity with MLOps on AWS.</li>
<li>Familiarity with building data pipelines on Azure.</li>
<li>Familiarity with building data pipelines on AWS.</li>
<li>Familiarity with single and multi-objective optimization techniques</li> 
</ul> 
 
Benefits 
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi &amp; Nasr City</li>
<li>Social insurance</li>
<li>Opportunity to travel and work onsite with U.S. customers</li>
<li>In-house Technical and English training programs</li>
<li>Dedicated learning time (check out our 4Plus1 Program)</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Principal Data Scientist

Serko Ltd

<div>Serko is a cutting-edge tech platform in global business travel &amp; expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world&rsquo;s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change.
With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place, we&rsquo;re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. 
 
This role can be based in West Coast USA - we would be open to candidates in other locations as well with proven experience and expertise. 
Requirements 
We are building a foundational AI division at Serko and looking for a Senior Data Scientist to help us move from concept to MVP at velocity. 
This is a hands-on role for someone who prefers building over maintaining. You&rsquo;ll be implementing models within AI-agentic environments, specifically focusing on Recommender Systems, Ranking algorithms, and Reinforcement Learning. 
 
What you'll do<ul><li>
Architect and lead the deployment of sophisticated data science solutions that define the technical direction for Serko&rsquo;s AI-agentic ecosystem.</li><li>
Design the foundational frameworks for model integration within multi-agent environments, overseeing the implementation of high-scale Recommender Systems, Ranking algorithms, and advanced Deep Learning architectures (e.g., Heterogeneous Graph Transformers).</li><li>
Set the standard for technical excellence and velocity, establishing the protocols for scoping and prioritizing complex, cross-functional projects.</li><li>
De-risk the most ambiguous and high-stakes technical challenges, proactively adapting emerging AI technologies to ensure Serko remains a market leader.</li><li>
Partner with Leadership to co-create AI-first product strategies, ensuring the long-term roadmap is anchored in technical feasibility and measurable commercial outcomes.</li><li>
Anticipate market shifts and technological risks, identifying long-term opportunities that leverage proprietary data to create a competitive &quot;moat.&quot;</li><li>
Command executive-level influence by translating complex technical trajectories into strategic business cases for the C-suite and key global partners.</li><li>
Sponsor and elevate the technical community, raising the collective &quot;technical ceiling&quot; of the organization through high-level mentorship and the establishment of best practices.</li></ul>
What you'll bring<ul><li>
At least 8-10+ years of proven experience building and scaling production-grade ML systems that have moved the needle on global business metrics.</li><li>
Deep technical mastery in machine learning and applied statistics, with a track record of implementing &quot;bleeding-edge&quot; techniques in a commercial environment.</li><li>
Authority in experimentation and systems design, with the ability to build for extreme scalability, maintainability, and reliability across global regions.</li><li>
Executive-level communication skills, with a demonstrated ability to influence organizational strategy and navigate complex stakeholder landscapes.</li><li>
Strategic product intuition, understanding how to balance long-term architectural health with the immediate needs of a fast-paced product development cycle.</li><li>
Proven technical leadership, with experience guiding senior engineers/scientists through complex pivots and high-pressure launches.</li><li>
Advanced software engineering fluency (Python and modern data stacks), with a focus on building modular, reusable, and production-hardened AI components.</li><li>
Visionary and resilient mindset, comfortable owning the &quot;blank page&quot; and driving clarity in environments of extreme ambiguity.</li></ul> 

Benefits 
At Serko, we aim to create a place where people can come and do their best work. This means you&rsquo;ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact.
Some of the benefits of working at Serko are:<ul><li>
A competitive base pay</li><li>
Medical Benefits</li><li>
Discretionary incentive plan based on individual and company performance</li><li>
Focus on development: Access to a learning &amp; development platform and opportunity for you to own your career pathways</li><li>
Flexible work policy</li><li>
The pay range is between $184,000 - $270,000 USD as a base salary offering annually.</li></ul></div>

Sigmoid

<div>Role: Principal Data Scientist - Commercial Analytics

Title: Senior Lead, Principal Data Scientist / Associate Director - Data Science

Location: NY / NJ (USA)

Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams &amp; own outcomes. You will nurture key client relationships to ensure client account success

Desired Experience :
<ul>
<li>8&ndash;12 years of overall experience.</li>
<li>3+ years in consulting or client-facing analytics roles.</li>
<li>3+ years of experience in CPG or adjacent commercial analytics environments.</li>
<li>Proven experience engaging with senior stakeholders and leading client conversations.</li>
<li>Strong track record in data science, statistics, and machine learning</li></ul> 


Role &amp; Responsibilities :
<ul>
<li>Develop and refine analytics &amp; ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions</li>
<li>Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC).</li>
<li>Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders</li>
<li>Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities.</li>
<li>Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI</li>
<li>Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.</li>
<li>Perform a role that involves a combination of hands-on contribution and customer engagement</li>
<li>Contribute to organization building through training, mentoring, and developing repeatable analytic approaches</li></ul> 
 
Primary Skills (Mandatory)
<ul>
<li>Strong foundation in ML and statistical concepts.</li>
<li>Proficiency in SQL, Python, and PySpark.</li>
<li>Experience with Snowflake, BigQuery, Azure, AWS, or Databricks.</li>
<li>Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics.</li>
<li>Ability to convert rigorous analysis into strategic recommendations.</li>
<li>Strong project management, communication, and team leadership skills</li>
<li>Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space</li></ul> 

<h4 class="jobSectionHeader">
 Secondary Skills (Good to have):</h4>
<ul><li>Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics.</li>
<li>Data engineering / MLOps experience.</li>
<li>Dashboarding experience with Power BI or Tableau</li>
<li>Exposure to Agentic AI / LLMs or any other Gen AI capabilities</li></ul></div>

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