Fulltime Data Scientist openings in Boston on September 05, 2022

Data Scientist at Piper Companies

Location: Boston

Piper Companies is seeking a Data Scientist, in a hybrid environment to join a cutting-edge Technology and AI oriented company located in Boston, MA. The Data Scientist will support machine learning research and development to further develop the production inference pipeline.

Responsibilities of the Data Scientist include:

· Support Machine Learning R&D through data collection, signal processing, and data mining/analysis

· Research for state-of-the-art gesture clarification algorithms using IMU and biopotential sensor data

· Develop code and tools in Python to test and characterize performance and limitations of different gesture classification models

· Perform data mining and data characterization to generate metrics for evaluating performance

· Assist processing and clean up of collected sensor data

Qualifications for the Data Scientist include:

· 2+ years of industrial related experience

· Understanding and experience with ML/AI, deep learning algorithms and development

· Experience with Python, machine learning frameworks, and data querying

· BS in Computer Science or related field

· Must be a US citizen who is eligible for a Security Clearance

Compensation for the Data Scientist includes:

· Salary Range: $130,000 – $160,000 + equity*depending on experience*

· Benefits: 75% Medical Coverage, 100% Dental & Vision, Unlimited PTO, Paid Holidays, and 401K with match

Keywords: data scientist, data science, machine learning, ml, ml frameworks, machine learning frameworks, data querying, data, sensor data, data collection, ai, data mining, data analysis, imu, python, tensorflow, pytorch, cloud computing, emg, eeg, ecg, cv, algorithms, hybrid work, hybrid, boston ma, boston Massachusetts, boston.
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Sr. Data Scientist (Renewable Energy) at Veritone

Location: Boston

WE ARE VERITONE

We are driven by the belief that Artificial Intelligence is mankind’s greatest invention. It is the key to building a safer, more vibrant, transparent, and empowered society. We are determined to be an active contributor to shaping our future for the better. We care about the ethical implications of AI and the prosperity and well-being of all individuals, as well as the growth and continued successes of our employees, customers, and partners.

Veritone’s mission today is more important than ever. We’re here to democratize AI and enable every organization and every person with the power of AI. What started in 2014 with the idea of providing unified access to hundreds of cognitive engines through one common software infrastructure, evolved to the world’s first AI operating system, aiWARE, which orchestrates a diverse ecosystem of cognitive engines to power intelligent automation for both commercial and government organizations. As we progress, we will continue to move humans from “in” to “on” to “out of the loop” to help them accelerate workflows, save time and costs, and uncover new insights and opportunities.
WHAT YOU’LL DO
• Building best in class cognitive engines for microgrid solutions by leveraging advanced algorithms performing comprehensive analysis in near real-time .
• Design and build predictive and cognitive algorithms for optimizing the performance and control of distributed energy resources (DER).
• Develop self-learning systems that can predict and autocorrect based on data.
• Develop predictive control models, optimization and machine learning, aimed at design, automation and optimal performance of large-scale, real-time dynamic systems.
• Gathering & analyzing data, devising data science solutions for high-performance real-time models.
• Propose innovative algorithms and pursue patents where appropriate.
• Working with engineering teams to incorporate solutions and create intuitive UX stories. Partner with data engineers on data quality assessment, cleansing, and analytics.
• Researching and evaluating emerging technology and market trends to assist in project development and operational support for the Energy team.
• Contributing to the development of software and data delivery platforms that are service-oriented and reusable.
• Creating reports and other artifacts to document your work and outcomes. Communicating methods, findings, and hypotheses with stakeholders.
WHAT YOU’LL NEED
• Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field.
• Knowledge and implementation experience of Hamiltonian and Lagrangian mathematics.
• Strong expertise in power system modeling, power system operation, power system optimization, integration of distributed energy resources (DER), energy management system (EMS), and supervisory control and data acquisition (SCADA).
• Have experience in Machine Learning/AI techniques including Deep learning (RNN, CNN, GAN, etc), Support Vector Machines; Regularization Techniques; Boosting, Random Forests, Ensemble Methods, image/video/audio processing, Bayesian, and time series modeling.
• Have good implementation experience with R, Python, Perl, Ruby, Scala, Apache Spark, Storm, SAS, and the ability to work with a variety of Deep learning frameworks including TensorFlow, Keras, Caffe, CNTK, etc.
• Have hands-on skills in sourcing, manipulating, and analyzing large volumes of data including SQL and NoSQL databases.
• Have proven experience in using well-established supervised and unsupervised machine learning methods for large industry-strength data analysis problems.
• Excellent communication (written / verbal).

Bonus Points If
• PhD from a top university in one of the following: Electrical Engineering, Signal Processing, Physics, Robotics, Machine Learning, Applied Statistics, or Applied Mathematics.
• Have experience in Parallel programming frameworks for GPUs, TPUs, and developed containerized solutions (Docker/Mesos etc).
• Energy Tools knowledge: PLEXOS, PROMOD, CYME, DSA Tools (PSAT, TSAT, VSAT), PSS/E, MATLAB/Simulink, KERMIT, and DigSILENT.
• Working with both Linux and Windows Operating Systems.
• Having participated in and placing well in Kaggle competitions is ideal.
WHAT WE OFFER
• A competitive compensation package
• Stock Options
• Flexible Time Off
• Quality benefits: medical, dental, vision, 401K
• An opportunity to be a part of the next big thing in artificial intelligence!
OUR CULTURE
• Loves learning & continuous growth; stays current on marketing trends
• Can juggle multiple projects, priorities, and deadlines with a positive attitude
• Comfortable in a fast-paced, small company environment
• Collaborative and always contributing value
• Driven to win as a team
• Remote first workplace

Veritone is a leading provider of artificial intelligence (AI) technology and solutions. The company’s proprietary operating system, aiWARE, orchestrates an expanding ecosystem of machine learning models to transform audio, video and other data sources into actionable intelligence. We love to continuously grow while staying ahead of trends and creating structure in an unstructured world.

If you’ve made it this far and align with our goals, we look forward to reviewing your qualifications!
DISCLOSURE

Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

(Colorado Only*): Minimum annual salary of $128,000.00. This base pay is for illustrative purposes only and will be determined based on skills and experience comparable to the job requirements. This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation; health benefits; retirement benefits; life insurance; paid time off; parental leave and benefits; and other employee perks and benefits.
• Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado.

#LI-REMOTE

#LI-DS1
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Principal Data Scientist at Citizens

Location: Boston

Description

Citizens Financial Group, Inc. (CFG) seeks a Principal Data Scientist for its Boston, MA location.

Duties: Owns the risk model validation process. Assesses the suitability of quantitative models for intended use and purpose, evaluates theoretical frameworks of models, analyzes and verifies data used in model development to ensure relevance and representativeness, creates benchmark models and performs statistical and analytical testing using various statistical methods or techniques including machine learning, logistic regression and other statistical techniques, identifies weaknesses or issues in submitted models and proposes actions for enhancement of models. Oversees usage of approved quantitative models. Conducts performance monitoring assessment to help ensure models in production work as intended and prevent potential loss to customers and the bank. Own end-to-end model risk analysis to ensure models are theoretically and statistically sound and appropriate for intended business use. Documents the entire validation process and delivers high-quality written reports.

Qualifications

Requirements: Master’s Degree in finance, or related field and three (3) years of experience in the role or in a similar position. Full term of experience must include: Assessing suitability of models for intended use and purpose, evaluating the theoretical framework of models, analyzing and verifying data used in model development to ensure relevance and representativeness, statistical and analytical testing, replicating code, benchmarking methodologies, and performing logical and accuracy tests to challenge models; Retrieving, merging, and analyzing large amounts of data from financial datasets to facilitate statistical analysis; Assessing the quality of historical and current data to ensure that underlying data and inputs are fit for modeling use; Performing ad-hoc analysis used for statistical/econometric analysis; Performing complex quantitative analysis utilizing various statistical methods or techniques, including linear models and machine learning; Using programming languages, including Python and R, to identify, investigate, and resolve data and programming issues; Coding in Python and R to perform exploratory data analysis, statistical tests, and model performance evaluation; Preparing and communicating quantitative and statistical analysis to audiences with both quantitative and non-quantitative experience; Building models using quantitative and statistical methods and validating third-party models; and Documenting and reporting on all aspects of model development and validation.

May telecommute from any US location.

Direct applicants only.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Why Work for Us
At Citizens, you’ll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth.
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability or perceived disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.
Equal Employment and Opportunity Employer/Disabled/Veteran
Citizens is a brand name of Citizens Bank, N.A. and each of its respective affiliates.
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Data Scientist at PS AI Labs

Location: Boston

PS AI Labs aims to provides exceptional data analytic and strategy services built upon our culture of Discovery, Humility, Integrity, Enthusiasm, and Community, enabling our clients to achieve demonstrably better business outcomes and advance their most important objectives

PS AI Labs is recruiting talented data scientists keen on applying analytics and machine learning to a diverse, impactful and exciting array of client projects crossing several AI/ML use cases and industries.
You will analyze interesting data sets and create impactful and sophisticated solutions that solve complex and essential business problems.
Our data scientists thrive in a continuous-learning culture, including our commitment to training and personal development. We collaborate alongside many gifted consulting and industry professionals.

Responsibilities include:
• Design and prototype solutions to our clients’ data science use cases and contribute to their deployment in client IT environments.
• Collaborate and knowledge-share with your colleagues.
• Help establish rigorous machine learning and statistical analysis best-practices to ensure consistency and maximum impact for all projects.
Data Scientist I Expectations:
• University degree in Science, Technology, Engineering or Mathematics (STEM).
• Able to apply supervised and unsupervised techniques with an understanding of their respective strengths, weaknesses and assumptions.
• Able to follow the data science train-validate-test paradigm:
o Familiar with common data feature engineering and wrangling methods
• Proficient in SQL and Python and/or R.
• Basic statistical knowledge (e.g., parameter inference, hypothesis testing).
Data Scientist II Expectations:
• Graduate university degree in Science, Technology, Engineering or Mathematics (STEM) preferred, but professional work experience is highly valued.
• Professional experience outside of the classroom with:
o Supervised and unsupervised learning techniques
o Evaluating, visualizing, and explaining data science concepts and outcomes
o Exploring data, wrangling data, and engineering features
• Proficient in SQL and Python and/or R:
o

SQL:
able to write performant and sophisticated queries and joins
o Python/R:
authors code that is efficient and follows basic best practices
o Python/R:
familiar with specialized data science packages
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Data Scientist II at Toast

Location: Boston

Data Scientist (Boston, MA / Remote)

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Bready* to make a change?

As a data scientist, you will partner across the R&D org and be a critical contributor to the machine learning algorithms using our huge reservoir of point of sale transaction data.

You will help expand Toast Capital’s loan offerings and improve Toast’s internal fraud detection and risk management capabilities.

About this Roll* :
• Build machine learning and big data algorithms to create and improve Toast products
• Build proprietary big data models to drive business value for Toast and our restaurant customers
• Collaborate closely with fellow data scientists, product, engineering, and others within the organization to build our restaurant technology platform
• Work effectively in a dynamic, changing environment while focusing on key goals and objectives
• Effectively work with business and data science leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions

Do you have the right ingredients*?
• Bachelor’s 2+ years of experience in a Data Science, Machine Learning, Software Engineering or similar position, or Master’s degree with 1+ years of experience
• Experience with Python and SQL; knowledge of some of the following languages, tools, and frameworks:
Scikit-learn, Tensorflow, PyTorch, R, Spark, Scala, etc.
• Knowledge of statistics and machine learning concepts including experimental design, hypothesis testing, regression, classification, and clustering
• Problem solver who loves to dig into different kinds of data and can communicate their findings to stakeholders in different departments

Special Sauce: (non-essential skills, nice to have)
• Experience building and deploying progressively complex and scalable machine learning models in production environments
• Exposure to coding best practices and tools including object-oriented programming, test-driven development, git, task orchestration (Airflow, Kubeflow, etc.), experiment tracking tool (e.g. MLFlow) and AWS stack (Sagemaker, S3, etc.)

Our Spread of Total Rewards
• Unlimited Vacation
• Sabbatical opportunity after five years
• Professional Development Reimbursement Program
• Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
• Various peer and company recognition programs
• 401(k) and matching
• Medical, Dental, & Vision Coverage
• Mental Health Benefits
• Subsidized backup childcare
• Bread puns encouraged but not required

We are Toasters

Diversity, Equity, and Inclusion is Baked into our Recipe for Success.

At Toast our employees are our secret ingredient. When they are powered to succeed, Toast succeeds.

The restaurant industry is one of the most diverse industries. We embrace and are excited by this diversity, believing that only through authenticity, inclusivity, high standards of respect and trust, and leading with humility will we be able to achieve our goals.

Baking inclusive principles into our company and diversity into our design provides equitable opportunities for all and enhances our ability to be first in class in all aspects of our industry.

Bready
• to make a change? Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidate accommodations.

For roles based in the United States:
As part of our commitment to the health and safety of our employees and their families, all individuals entering our US workspaces are required to provide proof of full vaccination against COVID-19 unless they have an approved medical or religious accommodation.
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Data scientist at Experfy

Location: Boston

The successful candidate will have a strong background in remote sensing, with experience in Google Earth Engine using remotely-sensed imagery for mapping applications and analysis. The successful candidate will have strong programming skills, including proficiency with Python, R and Google Earth Engine (GEE). Candidate is required to have proficiency with GIS and image processing software ArcGIS. Requirements
• Acquire and pre-process HLS data. UseClient’s available R code for automating HLS
geotiff extraction from Client’s Land Processes Distributed Active Archive Center (LP
DAAC) archives, based on region of interest and specified temporal range.
• Generate HLS NDVI time series to identify peak greenness from cloud-masked data.
• Further identify dates of peak greenness across various elevation bands of interest.
These NDVI time series will be compared to concurrent 250m daily MODIS NDVI time
series for additional validation of ESI phenological peaks. Generate code to automate
the extraction of HLS image granule representing peak greenness for regions of interest.
Similarly run process to identify optimal late-season imagery.
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Principal Data Scientist – Telecommute at UnitedHealth Group

Location: Boston

UnitedHealthcare is a company that’s on the rise. We’re expanding in multiple directions, across borders and most of all, in the way we think. Here, innovation isn’t about another gadget, it’s about transforming the health care industry. Ready to make a difference? Make yourself at home with us and start doing your life’s best work.(sm)

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:
• Develop and implement effective and strategic analytical solutions to enable data driven decisions
• Evaluate and present information in a manner that will facilitate clients understanding of the results and impacts
• Manage relationships with key business partners of across marketing/sales groups
• Lead a team of data scientists who build and maintain models and analysis for major corporate initiatives
• Build/review complex models, and deliver insights to clients
• Develop, implement, enhance, maintain existing models
• Self-motivated professional who can manage team effectively
• Solid data science and/or data engineering acumen
• Effective interpersonal influence and collaboration skills with internal stakeholders
• Solid communication skills and experience working across many levels of an organization
• Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non-technical as well as technical senior stakeholders, marketing customers, and data scientists

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:
• Bachelor’s degree in Mathematics, Statistics, Economics or similar field
• 5+ years of experience utilizing SQL, Python/R
• 5+ years of experience performing advanced analytical modeling
• 2+ years of management experience of either onshore or offshore analysts
• Proficient user skills in Excel, Word, and PowerPoint

Preferred Qualifications:
• Proven organizational skills with ability to be flexible and work with ambiguity
• Ability to effectively communicate with clients
• Ability to prioritize deliverables

To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment

Careers with UnitedHealthcare. Let’s talk about opportunity. Start with a Fortune 5 organization that’s serving more than 85 million people already and building the industry’s singular reputation for bold ideas and impeccable execution. Now, add your energy, your passion for excellence, your near-obsession with driving change for the better. Get the picture? UnitedHealthcare is serving employers and individuals, states and communities, military families and veterans where ever they’re found across the globe. We bring them the resources of an industry leader and a commitment to improve their lives that’s second to none. This is no small opportunity. It’s where you can do your life’s best work.(sm)

Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $97,300 to $176,900. The salary range for Connecticut/Nevada residents is $97,300 to $176,900. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
• All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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Data Scientist II at Uplight

Location: Boston

The Position
Do you dream about creating a more sustainable future? At Uplight, we are motivating energy users and providers to accelerate the clean energy ecosystem. Working with over 90 of the world’s leading electric and gas utilities, Uplight provides an end-to-end customer energy experience. Uplight delivers personalized experiences that customers have now come to expect-improving satisfaction, increasing revenue, reducing the cost to serve, and contributing to carbon reduction goals. We are B Corp certified, enabling us to put our values into action by not only making decisions for the benefit of our shareholders, but also for our customers, environment, employees, and community.
We are seeking a Data Scientist to join our team and help us achieve our ambitious goals for our business and the planet.
What you get to do:
As a member of the Data Science team within the Engineering organization, you will be in the data trenches for multiple product lines across Uplight. Data Scientists at Uplight are the ones charged with answering “How do we know our products are saving energy?” and “What insights are lurking in our data that we can extract, refine, and expose to our customers?” We work with stakeholders across the company to design experiments that allow us to attribute savings to our products, and we design and build the statistical models that allow for savings to be calculated. In addition we build machine learning models to digest, decipher, and discover new ways of thinking about who/how/why people and businesses use energy the way they do.
As a Data Scientist, you will be a contributor on day one. Your role will be part builder, part communicator, and part peer-reviewer. Data Science is a highly collaborative team, and you will be hands-on with your teammates and engineers from across the company answering questions, building models, and helping out however you can. At the same time, you will own your own code for analyses, as well as communicating out all results to people across the company.
Skills and experience are necessary, but we hire on value alignment first, so if you feel you would be a good fit with us, still consider applying.
What you will contribute:
• A desire to work on business-driven technology problems.
• A positive attitude.
• General curiosity towards all things data and energy.
What you bring to Uplight:
• Track record of building and maintaining machine learning models in a SaaS company.
• Knowledge of advanced statistical techniques and concepts (propensity modeling, regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Ability to process, cleanse, and verify the integrity of data used for analysis and modeling.
• Experience dealing with large quantities of data across relational databases, cloud storage, and distributed compute systems.
• Excellent written and verbal communication skills for presenting findings to technical and non-technical audiences.
• Solid experience with common data science toolkits, such as scikit-learn, Spark ML, pandas, Scipy, etc.
• Proficiency in Git or other version control systems.
Bonus Points:
• Experience in Databricks and/or MLflow.
• Experience using Airflow.
What makes working at Uplight amazing: In addition to all the standard medical and dental benefits, that kick in Day 1, we are:
• Proud to be over 500+ purpose-driven individuals helping to create a more sustainable planet.
• Committed to the environment, our employees, and our communities.
• Focused on career growth by following defined career ladders.
• Committed to taking our work and mission seriously love to laugh
We also provide:
• 401k Match
• Medical, vision, and dental insurance
• Monthly wellness stipend
• Peer to peer recognition program
• Management by objectives bonus plan
• Innovative flexible time off policy
• Exceptionally collaborative and cool office spaces
Salary Range: $115,000 to $130,000
In accordance with the Colorado Equal Pay for Equal Work Act, the approximate annual base compensation range is listed above. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant’s experience, knowledge, skills, and abilities, as well as internal equity among our team.
Uplight provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race (including hair texture and hairstyles), color, religion (including head coverings), age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Princ Engr-Data Science at Verizon

Location: Boston

needed by Verizon in Boston, MA. Develop quantitative solutions and provide predictive and prescriptive insights into supply chain strategies, including AI/ML-based forecasting and planning.

Must have the ability to work from home. To apply, email resume to (see below) Refer to job code DGMOLN-N..
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Data Scientist at Elemental Machines

Location: Boston

About the role:
Elemental Machines is looking for a Data Scientist to be a key member of Elemental’s fast growing Data Science and Analytics team. Designing and documenting your model choices, contributing to technical leadership, and working closely with other engineering teams to deliver industry leading analytics built on top of a world class IoT platform.
Your primary focus will be on building and improving machine learning models for customer facing products. Novel IoT analytics are mission critical to our business as we grow and continue to expand our product offerings. Each new model offers a great opportunity to implement new solutions and integrate third-party services to solve business and technical challenges.
A successful candidate must be creative, willing to innovate, and possess interest and aptitude to succeed in a startup environment. You must be able to work independently, understand the needs of the business, proactively reprioritize as needs change and strive for personal growth in line with company goals. You are comfortable with learning about and contributing to all things machine learning.
A bachelor’s degree is required, with a strong working knowledge of Python and 3+ years experience in time series analysis and machine learning.
This position offers an excellent opportunity for professional growth in areas of near real-time data processing and analytics of IoT data streams. You will be instrumental in developing models that directly impact the success of our customers and therefore the business.
Responsibilities:
• Your solutions will have immediate impact on the efficiency of the scientific process
• Develop advanced machine learning models and algorithms on time series sensor data for product features
• Research, prototype, deploy and own time series algorithms and predictive models, such as classification, forecasting, anomaly detection, event detection and signal processing
• Identify and build new datasets to enhance the models and product features
• Communicate results to technical and non-technical stakeholders

Requirements:
• 3+ years experience as a data scientist or in a similar role
• Knowledge of programming languages (e.g. Python (preferred) or R)
• Experience with time series analysis (anomaly detection, event detection, forecasting and/or classification)
• Experience training and tuning machine learning classification models for better precision or recall
• Hands-on experience with relational and time series databases (SQL)
• Experience with version control software (e.g. GitHub or bitbucket)
• Great numerical and analytical skills
• Graduate degree, or a bachelor’s degree with 3-5 years professional experience, in Mathematics, Statistics, Computer Science, Electrical Engineering, Physics, or a related field
• Knowledge of the GCP cloud environment and tools a plus

About us:
Today’s research, clinical, and quality control labs are expected to discover and produce at a pace once considered unimaginable. Now, to lead is to be led by data. The Elemental Machines platform elevates LabOps teams to lead data-driven discovery, development, and delivery by simplifying the connection between physical and digital worlds. The result is a lab united by a universal cloud-connected dashboard and operations, informed by monitoring of every asset and environment, both in real-time and over time. Why? The standards established by operations determine the pace of output and discovery organization-wide.
The Culture:
Elemental Machines is a startup company based in Cambridge, MA, and we love it here Being right next to some of the most innovative companies in the IoT and BioTech industries gives us drive and passion to pursue our own big goals, while enabling other companies to pursue theirs.
We are committed to delivering on our promise to our customers: accelerate how they get science done. This commitment touches every level of our culture, because we are excited every day to stretch our creativity in balancing the needs of our customers with the resources at our disposal, and to thoughtfully interact with our peers to keep our mission on track.
Excellence in LabOps is a connection away.
What do we do?
We elevate LabOps teams to lead data-driven discovery, development, and delivery.
How do we do it?
We simplify the connection between the physical and digital worlds.
Why do we do it?
Optimizing the operations of research, clinical, and quality control labs has an exponential impact.
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